Curriculum Vitae January 28, 2020 Demetri Terzopoulos Distinguished Professor and Chancellor’S Professor of Computer Science University of California, Los Angeles

Total Page:16

File Type:pdf, Size:1020Kb

Curriculum Vitae January 28, 2020 Demetri Terzopoulos Distinguished Professor and Chancellor’S Professor of Computer Science University of California, Los Angeles Curriculum Vitae January 28, 2020 Demetri Terzopoulos Distinguished Professor and Chancellor’s Professor of Computer Science University of California, Los Angeles Contact UCLA Computer Science Department E-Mail: [email protected] Information 491 Engineering VI Tel: 310-206-6946 Fax: 310-794-5057 Los Angeles, CA 90095-1596, USA WWW: www.cs.ucla.edu/∼dt/ Biography Demetri Terzopoulos is a Chancellor’s Professor of Computer Science at UCLA, where he holds the rank of Distinguished Professor and directs the UCLA Computer Graphics & Vision Labora- tory. He is also Co-Founder and Chief Scientist of VoxelCloud, Inc. He is or was a Guggenheim Fellow, a Fellow of the ACM, IEEE, IETI, Royal Society of Canada, and Royal Society of Lon- don, and a Member of the European Academy of Sciences, New York Academy of Sciences, and Sigma Xi. After graduating from McGill University and receiving the PhD degree in AI (’84) from MIT, he remained at the MIT Artificial Intelligence Lab as a research scientist through 1985. Prior to becoming an academic in 1989, he was a program leader at Schlumberger corporate research centers in California and Texas. He was Professor of Computer Science and Professor of Electrical & Computer Engineering at the University of Toronto until 2010. He joined UCLA in 2005 from New York University, where he held the Lucy and Henry Moses Professorship in Science and was Professor of Computer Science and Mathematics at NYU’s Courant Institute from 2000. Professor Terzopoulos is one of the most highly cited engineers and computer scientists according to ISI and other indexes, with more than 400 scholarly publications, including several volumes, spanning computer graphics, computer vision, medical imaging, computer-aided design, artificial intelligence/life, and related domains. He has delivered over 500 invited talks around the world on these topics, among them well over 100 distinguished lectures and keynote addresses. Professor Terzopoulos is the recipient of an Academy Award for Technical Achievement from the Academy of Motion Picture Arts and Sciences for his pioneering work on realistic cloth simulation for motion pictures. The IEEE has recognized him with its Computer Pioneer Award and inaugural Computer Vision Distinguished Researcher Award “For his pioneering and sustained research on Deformable Models and their applications.” ‘Deformable models’, a term he coined, appears in the IEEE Taxonomy. His many other accolades include an award from the AAAI for his work on deformable models, a Helmholtz Prize and a Marr Prize citation from the IEEE for his work on active contours (“snakes”), two citations from the International Medical Informatics Association and an award from the MICCAI Society for his work on medical image analysis, an award from the Japanese NICOGRAPH Society for his work on human facial modeling and an- imation, and awards from the International Digital Media Foundation and from Ars Electronica for his work on the artificial life simulation of animals. He has been a Killam Research Fellow of the Canada Council for the Arts, an E.W.R. Steacie Memorial Fellow of the Natural Sciences and Engineering Research Council of Canada, and an AI/Robotics Fellow of the Canadian Institute for Advanced Research. The Canadian Image Processing and Pattern Recognition Society cited him for his “outstanding contributions to research and education in Image Understanding” with its Young Investigator Award as well as with its Award for Research Excellence. The 34 PhD theses that he has supervised include the winner of the 1996 ACM Doctoral Dissertation Award. Professor Terzopoulos has served on DARPA, NSF, NIH, and National Academies advi- sory committees and on the Presidential Scientific Advisory Board of the Max Plank Institute for Informatics in Germany. He has been an organizer and/or program committee member of the major conferences in graphics, vision, medical imaging, AI, etc., and was a Program Chair of IEEE CVPR 1998 and Pacific Graphics 2004, Program Advisor of IEEE ICME 2013, an Area Chair of ICCV 2007, and a Conference Chair of SIGGRAPH/EG SCA 2005. He is or was a founding member of the editorial boards of eight journals spanning the fields of vision, graphics, medical imaging, and applied math, and was a Series Editor of Springer’s Lecture Notes in Computer Science. He has been a consultant to several major American, Canadian, and Japanese corporations. Fields of Primary: Computer Graphics, Computer Vision, Medical Image Analysis, Computer-Aided De- Interest sign, Artificial Intelligence/Life. Secondary: Machine Learning, Multimedia, Biomechanics, Robotics, Digital Signal Processing, Parallel Computing. 1 CV of D. Terzopoulos – January 28, 2020 Contents Table of Contents Resume Contact Information / Biography / Fields of Interest....................................1 Education..........................................................3 Positions...........................................................3 Memberships........................................................4 Awards............................................................5 Major Professional Honors.................................................8 Research Grants....................................................... 12 Publications......................................................... 12 Companies and Patents................................................... 12 Invited Talks......................................................... 12 University Service...................................................... 13 Teaching Experience..................................................... 16 Research Supervision.................................................... 18 Professional Activity.................................................... 28 Exhibitions......................................................... 34 Media Coverage....................................................... 34 Appendices 39 A Additional Professional Honors 39 B Research Grants 41 C Publications 45 Volumes........................................................... 45 Dissertations......................................................... 45 Refereed Journal Publications................................................ 46 Peer-Reviewed Conference Publications (SIGGRAPH)................................... 49 Peer-Reviewed Conference Publications.......................................... 50 Chapters in Books...................................................... 58 Invited and Other Selected Publications........................................... 60 Creative Works: Selected Videos.............................................. 66 Creative Works: Cover Illustrations, Published CG Images................................. 68 D Invited Talks 71 Distinguished Lectures, Keynote Addresses, Plenary Addresses.............................. 71 Colloquia.......................................................... 75 Symposia.......................................................... 78 Lectures........................................................... 80 E Additional Service on Graduate Student Committees 83 Current Doctoral Committee Service............................................ 83 Doctoral Committees.................................................... 83 Masters Committees..................................................... 88 F Service on Conference and Workshop Program Committees 92 Computer Vision....................................................... 92 Medical Image Analysis................................................... 94 Computer Graphics..................................................... 96 Multimedia and Virtual Reality............................................... 98 Geometric Modeling..................................................... 98 Artificial Intelligence, Artificial Life............................................ 99 Other............................................................. 99 G Refereeing 101 Funding Agency Refereeing................................................. 101 Journal Refereeing...................................................... 101 Conference Refereeing................................................... 102 Manuscript Refereeing.................................................... 103 2 CV of D. Terzopoulos – January 28, 2020 Resume Education Massachusetts Institute of Technology (MIT) Cambridge, Massachusetts Doctor of Philosophy in Artificial Intelligence from the Department of Electrical Engineering and Computer Science (February 1984). Thesis title: Multiresolution Computation of Visible- Surface Representations. Thesis advisors: Dr. Shimon Ullman (currently Samy and Ruth Cohn Professor of Computer Science and Applied Mathematics, Weizmann Institute of Science) and Dr. Sir J. Michael Brady, FRS, FREng, FIEE (formerly BP Professor of Information Engineering, Oxford University). Thesis committee: Professors Berthold K.P. Horn and Tomas Lozano-Perez. Ph.D. Minor Program: Digital signal processing. McGill University Montreal, Canada Master of Engineering in Electrical Engineering (June 1980). Thesis title: Applying Co-Occurrence Matrices to Texture Classification. Thesis advisor: Dr. Steven W. Zucker (currently David and Lu- cile Packard Professor of Computer Science and Electrical Engineering, Yale University). Bachelor of Engineering in Honours Electrical Engineering with distinction (June 1978). Positions Primary: University of California, Los Angeles Los Angeles, California [July 2012 to present] Distinguished Professor (highest academic rank at
Recommended publications
  • MICCAI 2020 23Rd International Conference Lima, Peru, October 4–8, 2020 Proceedings, Part V
    Lecture Notes in Computer Science 12265 Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA More information about this series at http://www.springer.com/series/7412 Anne L. Martel • Purang Abolmaesumi • Danail Stoyanov • Diana Mateus • Maria A. Zuluaga • S. Kevin Zhou • Daniel Racoceanu • Leo Joskowicz (Eds.) Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 23rd International Conference Lima, Peru, October 4–8, 2020 Proceedings, Part V 123 Editors Anne L. Martel Purang Abolmaesumi University of Toronto The University of British Columbia Toronto, ON, Canada Vancouver, BC, Canada Danail Stoyanov Diana Mateus University College London École Centrale de Nantes London, UK Nantes, France Maria A. Zuluaga S. Kevin Zhou EURECOM Chinese Academy of Sciences Biot, France Beijing, China Daniel Racoceanu Leo Joskowicz Sorbonne University The Hebrew University of Jerusalem Paris, France Jerusalem, Israel ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-59721-4 ISBN 978-3-030-59722-1 (eBook) https://doi.org/10.1007/978-3-030-59722-1 LNCS Sublibrary: SL6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
    [Show full text]
  • Deep Learning of Neuromuscular Control for Biomechanical Human Animation
    Deep Learning of Neuromuscular Control For Biomechanical Human Animation Masaki Nakada? and Demetri Terzopoulos Computer Science Department University of California, Los Angeles Abstract. Increasingly complex physics-based models enhance the real- ism of character animation in computer graphics, but they pose difficult motor control challenges. This is especially the case when controlling a biomechanically simulated virtual human with an anatomically real- istic structure that is actuated in a natural manner by a multitude of contractile muscles. Graphics researchers have pursued machine learn- ing approaches to neuromuscular control, but traditional neural network learning methods suffer limitations when applied to complex biomechan- ical models and their associated high-dimensional training datasets. We demonstrate that \deep learning" is a useful approach to training neu- romuscular controllers for biomechanical character animation. In par- ticular, we propose a deep neural network architecture that can effec- tively and efficiently control (online) a dynamic musculoskeletal model of the human neck-head-face complex after having learned (offline) a high-dimensional map relating head orientation changes to neck muscle activations. To our knowledge, this is the first application of deep learn- ing to biomechanical human animation with a muscle-driven model. 1 Introduction The modeling of graphical characters based on human anatomy is becoming increasingly important in the field of computer animation. Progressive fidelity in biomechanical modeling should, in principle, result in more realistic human animation. Given realistic biomechanical models, however, we must confront a variety of difficult motor control problems due to the complexity of human anatomy. In conjunction with the modeling of skeletal muscle [1,2], existing work in biomechanical human modeling has addressed the hand [3,4,5], torso [6,7,8], face [9,10,11], neck [12], etc.
    [Show full text]
  • Download The
    LEADING THE FUTURE OF TECHNOLOGY 2016 ANNUAL REPORT TABLE OF CONTENTS 1 MESSAGE FROM THE IEEE PRESIDENT AND THE EXECUTIVE DIRECTOR 3 LEADING THE FUTURE OF TECHNOLOGY 5 GROWING GLOBAL AND INDUSTRY PARTNERSHIPS 11 ADVANCING TECHNOLOGY 17 INCREASING AWARENESS 23 AWARDING EXCELLENCE 29 EXPANSION AND OUTREACH 33 ELEVATING ENGAGEMENT 37 MESSAGE FROM THE TREASURER AND REPORT OF INDEPENDENT CERTIFIED PUBLIC ACCOUNTANTS 39 CONSOLIDATED FINANCIAL STATEMENTS Barry L. Shoop 2016 IEEE President and CEO IEEE Xplore® Digital Library to enable personalized importantly, we must be willing to rise again, learn experiences based on second-generation analytics. from our experiences, and advance. As our members drive ever-faster technological revolutions, each of us MESSAGE FROM As IEEE’s membership continues to grow must play a role in guaranteeing that our professional internationally, we have expanded our global presence society remains relevant, that it is as innovative as our THE IEEE PRESIDENT AND and engagement by opening offices in key geographic members are, and that it continues to evolve to meet locations around the world. In 2016, IEEE opened a the challenges of the ever-changing world around us. second office in China, due to growth in the country THE EXECUTIVE DIRECTOR and to better support engineers in Shenzhen, China’s From Big Data and Cloud Computing to Smart Grid, Silicon Valley. We expanded our office in Bangalore, Cybersecurity and our Brain Initiative, IEEE members India, and are preparing for the opening of a new IEEE are working across varied disciplines, pursuing Technology continues to be a transformative power We continue to make great strides in our efforts to office in Vienna, Austria.
    [Show full text]
  • Natural Language Interaction with Explainable AI Models Arjun R Akula1, Sinisa Todorovic2, Joyce Y Chai3 and Song-Chun Zhu4
    Natural Language Interaction with Explainable AI Models Arjun R Akula1, Sinisa Todorovic2, Joyce Y Chai3 and Song-Chun Zhu4 1,4University of California, Los Angeles 2Oregon State University 3Michigan State University [email protected] [email protected] [email protected] [email protected] Abstract This paper presents an explainable AI (XAI) system that provides explanations for its predictions. The system consists of two key components – namely, the predic- tion And-Or graph (AOG) model for rec- ognizing and localizing concepts of inter- est in input data, and the XAI model for providing explanations to the user about the AOG’s predictions. In this work, we focus on the XAI model specified to in- Figure 1: Two frames (scenes) of a video: (a) teract with the user in natural language, top-left image (scene1) shows two persons sitting whereas the AOG’s predictions are consid- at the reception and others entering the audito- ered given and represented by the corre- rium and (b) top-right (scene2) image people run- sponding parse graphs (pg’s) of the AOG. ning out of an auditorium. Bottom-left shows the Our XAI model takes pg’s as input and AOG parse graph (pg) for the top-left image and provides answers to the user’s questions Bottom-right shows the pg for the top-right image using the following types of reasoning: direct evidence (e.g., detection scores), medical diagnosis domains (Imran et al., 2018; part-based inference (e.g., detected parts Hatamizadeh et al., 2019)). provide evidence for the concept asked), Consider for example, two frames (scenes) of and other evidences from spatiotemporal a video shown in Figure1.
    [Show full text]
  • 2008 Cse Course List 56
    It is CSE’s intention every year to make the Annual Report representative of the whole Department. With this ideal in mind, a design contest is held every year open to Graduate and Undergraduate students. This year’s winner was James Dickson, a junior CSE major who hails from Granville, Ohio. CONTENTS 2008 ACHIEVEMENT & HIGHLIGHTS 1 ANNUAL CSE DEPARTMENT AWARDS 11 INDUSTRIAL ADVISORY BOARD 12 RETIREMENT DOUBLE HIT 13 RESEARCH 14 GRANTS, AWARDS & GIFTS 19 COLLOQUIUM 27 STUDENTS 29 FaCULTY AND STAFF 38 SELECT FaCULTY PUBLICATIONS 49 2007 - 2008 CSE COURSE LIST 56 395 Dreese Labs 2015 Neil Avenue Columbus, Ohio 43210-1277 (614) 292-5813 WWW.CSE.OHIO-STATE.EDU i Mission Statement ± The Department of Computer Science and Engineering will impact the information age as a national leader in computing research and education. ± We will prepare computing graduates who are highly sought after, productive, and well-respected for their work, and who contribute to new developments in computing. ± We will give students in other disciplines an appropriate foundation in computing for their education, research, and experiences after graduation, consistent with computing’s increasingly fundamental role in society. ± In our areas of research focus, we will contribute key ideas to the development of the computing basis of the information age, advancing the state of the art for the benefit of society, the State of Ohio, and The Ohio State University. ± We will work with key academic partners within and outside of OSU, and with key industrial partners, in pursuit of our research and educational endeavors. ii GREETIN G S FROM THE CHAIR ’S OFFI C E Dear Colleges, Alumni, Friends, and Parents, As we reach the end of the 2007-2008 academic year, I am glad to introduce you a new annual report of the department.
    [Show full text]
  • Phd Thesis, Technical University of Denmark (DTU)
    UCLA UCLA Electronic Theses and Dissertations Title An Online Collaborative Ecosystem for Educational Computer Graphics Permalink https://escholarship.org/uc/item/1h68m5hg Author Ridge, Garett Douglas Publication Date 2018 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA Los Angeles An Online Collaborative Ecosystem for Educational Computer Graphics A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Computer Science by Garett Douglas Ridge 2018 c Copyright by Garett Douglas Ridge 2018 ABSTRACT OF THE DISSERTATION An Online Collaborative Ecosystem for Educational Computer Graphics by Garett Douglas Ridge Doctor of Philosophy in Computer Science University of California, Los Angeles, 2018 Professor Demetri Terzopoulos, Chair This thesis builds upon existing introductory courses in the field of Computer Graphics, aiming to lower the excessive barrier of entry to graphics programming. We introduce tiny- graphics.js, a new software library for implementing educational WebGL projects in the classroom. To mitigate the difficulty of creating graphics-enabled websites and online games, we furthermore introduce the Encyclopedia of Code|a world wide web framework that encourages visitors to learn graphics, build educational graphical demos and articles, host them online, and organize them by topic. We provide our own examples that include custom educational games and tutorial articles, which are already being successfully employed to ease our undergraduate graphics students into the course material. Some of our modules expose students to new graphics techniques, while others are prototypes for new modes of online learning, collaboration, and computing. These include our \Active Textbooks" (educational 3D demos or games embedded in literate-programming-like articles).
    [Show full text]
  • Neuroengineering Day
    NeuroEngineering Day The NeuroEngineering Day will take place on Monday January 20, 2020, from 9am to 12h, at the Sala de Audiovisuales de la Facultad de Psicología y Logopedia. https://goo.gl/maps/YV8NQfXmXCWDQ2Nq5 Brief description The activities will include plenary lectures by internationally recognized experts in the fields of Medical Image Computing and Computer-Assisted Interventions. Prof. Ron Kikinis is the founding Director of the Surgical Planning Laboratory (SPL), Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, and a Professor of Radiology at Harvard Medical School. This laboratory was founded in 1990. Before joining Brigham & Women's Hospital in 1988, he trained as a resident in radiology at the University Hospital in Zurich, and as a researcher in computer vision at the ETH in Zurich, Switzerland. He received his M.D. degree from the University of Zurich, Switzerland, in 1982. In 2004 he was appointed Professor of Radiology at Harvard Medical School. In 2009 he was the inaugural recipient of the MICCAI Society "Enduring Impact Award". On February 24, 2010 he was appointed the Robert Greenes Distinguished Director of Biomedical Informatics in the Department of Radiology at Brigham and Women's Hospital. On January 1, 2014, he was appointed "Institutsleiter" of Fraunhofer MEVIS and Professor of Medical Image Computing at the University of Bremen. Since then he is commuting every two months between Bremen and Boston. He is the Principal Investigator of 3D Slicer, a free open source software platform for image analysis and visualization. Over the years Dr. Kikinis has served as the Principal Investigator(PI) and site PI of a number of large and small NIH and NSF funded grants (see here for his NIH funding).
    [Show full text]
  • IEEE-SA Standards Board Meeting Minutes – December 2015
    Board Meeting Minutes – September 2011 IEEE-SA Standards Board Meeting Minutes – December 2015 IEEE-SA Standards Board Meeting Minutes 05 December 2015 IEEE Operations Center, Piscataway, New Jersey, USA Attendees Chair: John Kulick Vice Chair: Jon Rosdahl Past Chair: Rich Hulett Secretary: Konstantinos Karachalios Members: Masayuki Ariyoshi Ted Burse Stephen Dukes [TAB Rep.] Jean-Philippe Faure Travis Griffith Gary Hoffman Michael Janezic David Law Hung Ling Andrew Myles Ted Olsen Glenn Parsons Ron Petersen Annette Reilly Steve Shellhammer Adrian Stephens Yatin Trivedi Philip Winston Don Wright IEEE Standards Association | 445 Hoes Lane | Piscataway NJ 08854 USA Phone: +1 732 981 0060 | Fax: +1 732 562 1571 | standards.ieee.org IEEE-SA Standards Board Meeting Minutes – December 2015 Yu Yuan Daidi Zhong Thomas Koshy, NRC Liaison Jim Matthews, IEC Liaison Members Absent: Joe Koepfinger, Member Emeritus Dick DeBlasio, DOE Liaison IEEE Staff: Melissa Aranzamendez Kathryn Bennett Christina Boyce Matthew Ceglia Tom Compton Christian DeFelice Karen Evangelista Jonathan Goldberg Mary Ellen Hanntz Yvette Ho Sang Noelle Humenick Karen Kenney Michael Kipness Adam Newman Mary Lynne Nielsen Moira Patterson Walter Pienciak Dave Ringle, Recording Secretary Rudi Schubert Sam Sciacca Patrick Slaats Walter Sun Susan Tatiner Cherry Tom Lisa Weisser Meng Zhao IEEE Outside Legal Counsel: Claire Topp Guests: Chuck Adams Dennis Brophy Dave Djavaherian IEEE-SA Standards Board Meeting Minutes – December 2015 James Gilb Scott Gilfillan Daniel Hermele Bruce Kraemer Xiaohui Liu Kevin Lu John Messenger Gil Ohana Mehmet Ulema, ComSoc Liaison to the SASB Neil Vohra Walter Weigel Yingli Wen Phil Wennblom Howard Wolfman Helene Workman Paul Zeineddin 1 Call to Order Chair Kulick called the meeting to order at 9:00 a.m.
    [Show full text]
  • MPI of Cognitive Neuroscience
    CURRICULUM VITAE (Tianzi Jiang, 09/2019) 1. PERSONAL DATA Current Positions: Professor and Director, Beijing Key Laboratory of Brainnetome, Institute of Automation, Chinese Academy of Sciences, Beijing, China Professor and Director, Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China Professor, Neuroimaging and Brainnetome, Queensland Brain Institute, University of Queensland, Brisbane, Australia Office: Professor Tianzi Jiang Brainnetome Center Institute of Automation The Chinese Academy of Sciences Beijing 100190 P. R. China Phone: +86 10 8254 4778 Fax: +86 10 8254 4777 Email: [email protected] ; [email protected] URL: http://www.nlpr.ia.ac.cn/jiangtz Date of Birth: April 17, 1962 Place of Birth: Hunan Province, China Citizenship: Chinese Gender: Male Languages: Chinese and English 2. EDUCATION PhD in Computational Mathematics (1994): School of Mathematical Sciences, Zhejiang University, China. MSc in Approximation Theory (1992): School of Mathematical Sciences, Zhejiang University, China. BSc in Computational Mathematics (1984): School of Mathematics and Statistics, Lanzhou University, China. 3. TEACHING EXPERIENCES 09/2015-Present: Professor, University of the Chinese Academy of Sciences, China. 11/1999-Present: Professor, Institute of Automation, the Chinese Academy of Sciences, China. 09/2009-Present: Chang Jiang Professor, University of Electronic Science and Technology of China, China 08/2002- 05/2003: Visiting Professor, Department of Computer Science, University of Houston. 07/1984-09/1989: Assistant Lecturer, Suzhou University, China. 1 4. RESEARCH EXPERIENCES 01/2015-Present: Professor and Director, Beijing Key Laboratory of Brainnetome, Institute of Automation, the Chinese Academy of Sciences, China. 12/2013-Present: Professor and Director, Brainnetome Center, Institute of Automation, the Chinese Academy of Sciences, China.
    [Show full text]
  • MICCAI 2018 21St International Conference Granada, Spain, September 16–20, 2018 Proceedings, Part II
    Lecture Notes in Computer Science 11071 Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen Editorial Board David Hutchison Lancaster University, Lancaster, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Zurich, Switzerland John C. Mitchell Stanford University, Stanford, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel C. Pandu Rangan Indian Institute of Technology Madras, Chennai, India Bernhard Steffen TU Dortmund University, Dortmund, Germany Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max Planck Institute for Informatics, Saarbrücken, Germany More information about this series at http://www.springer.com/series/7412 Alejandro F. Frangi • Julia A. Schnabel Christos Davatzikos • Carlos Alberola-López Gabor Fichtinger (Eds.) Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 21st International Conference Granada, Spain, September 16–20, 2018 Proceedings, Part II 123 Editors Alejandro F. Frangi Carlos Alberola-López University of Leeds Universidad de Valladolid Leeds Valladolid UK Spain Julia A. Schnabel Gabor Fichtinger King’s College London Queen’s University London Kingston, ON UK Canada Christos Davatzikos University of Pennsylvania Philadelphia, PA USA ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-030-00933-5 ISBN 978-3-030-00934-2 (eBook) https://doi.org/10.1007/978-3-030-00934-2 Library of Congress Control Number: 2018909526 LNCS Sublibrary: SL6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics © Springer Nature Switzerland AG 2018, corrected publication 2018 This work is subject to copyright.
    [Show full text]
  • IEEE Annual Report- 2017
    THE 2017 IEEE TABLE OF PRESIDENT’S COIN CONTENTS Initiated by 2016 President Barry Shoop, the IEEE President’s Coin 1 MESSAGE FROM THE IEEE PRESIDENT is given to individuals in recognition of their dedication to IEEE. For me, one of the most interesting aspects is the embodiment of the President’s unique design and story. 3 INSPIRING CHANGE. EMPOWERING PEOPLE. “Find Your Reason, Purpose and Passion” 5 GROWING GLOBAL AND INDUSTRY PARTNERSHIPS The front of my coin features a personal motto, inspired by my daughter - “Find Your Reason, Purpose and Passion,” along with the mission of IEEE. 9 GROWING AWARENESS OF IEEE The back highlights five areas of IEEE activities in the outer ring and different facets of IEEE in the center. 15 EXPANDING IEEE’S PRESENCE AROUND THE WORLD The Wi-Fi symbol denotes IEEE’s leadership in standards. 21 ADVANCING TECHNOLOGY FOR THE FUTURE The image next to that represents engineering in medicine and biology. The skyline signifies Smart Cities and IEEE’s global nature. 27 REWARDING EXCELLENCE The circuit diagram symbolizes our computer and electronic engineering disciplines. The plant is for 31 ENCOURAGING OUTREACH AND DRIVING RESEARCH IEEE’s power and energy fields and sustainability initiatives. The sine wave stands for our many communications domains. 35 ELEVATING ENGAGEMENT My favorite icon is the group of people with one individual who is a little different, showing IEEE 39 IEEE BOARD OF DIRECTORS AND MANAGEMENT COUNCIL members welcoming me as a female engineer. With each coin I presented, came the feeling of pride 41 MESSAGE FROM THE TREASURER AND REPORT and humbleness to serve our great institution.
    [Show full text]
  • Snakes: Active Contour Models
    International Journal of Computer Vision, 321-331 (1988) o 1987 KIuwer Academic Publishers, Boston, Manufactured in The Netherlands Snakes: Active Contour Models MICHAEL KASS, ANDREW WITKIN, and DEMETRI TERZOPOULOS Schlumberger Palo Alto Research, 3340 Hillview Ave., Palo Alto, CA 94304 Abstract A snake is an energy-minimizing spline guided by external constraint forces and influenced by image forces that pull it toward features such as lines and edges. Snakes are active contour models: they lock onto nearby edges, localizing them accurately. Scale-space continuation can be used to enlarge the cap- ture region surrounding a feature. Snakes provide a unified account of a number of visual problems, in- cluding detection of edges, lines, and subjective contours; motion tracking; and stereo matching. We have used snakes successfully for interactive interpretation, in which user-imposed constraint forces guide the snake near features of interest. 1 Introduction organizations. By adding suitable energy terms to the minimization, it is possible for a user to push In recent computational vision research, low- the model out of a local minimum toward the level tasks such as edge or line detection, stereo desired solution. The result is an active model matching, and motion tracking have been widely that falls into the desired solution when placed regarded as autonomous bottom-up processes. near it. Marr and Nishihara [ 111, in a strong statement of Energy minimizing models have a rich history this view, say that up to the 2.5D sketch, no in vision going back at least to Sperling’s stereo “higher-level” information is yet brought to bear: model [16].
    [Show full text]