3D Pluraview Supported Stereoscopic Applications
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Management of Large Sets of Image Data Capture, Databases, Image Processing, Storage, Visualization Karol Kozak
Management of large sets of image data Capture, Databases, Image Processing, Storage, Visualization Karol Kozak Download free books at Karol Kozak Management of large sets of image data Capture, Databases, Image Processing, Storage, Visualization Download free eBooks at bookboon.com 2 Management of large sets of image data: Capture, Databases, Image Processing, Storage, Visualization 1st edition © 2014 Karol Kozak & bookboon.com ISBN 978-87-403-0726-9 Download free eBooks at bookboon.com 3 Management of large sets of image data Contents Contents 1 Digital image 6 2 History of digital imaging 10 3 Amount of produced images – is it danger? 18 4 Digital image and privacy 20 5 Digital cameras 27 5.1 Methods of image capture 31 6 Image formats 33 7 Image Metadata – data about data 39 8 Interactive visualization (IV) 44 9 Basic of image processing 49 Download free eBooks at bookboon.com 4 Click on the ad to read more Management of large sets of image data Contents 10 Image Processing software 62 11 Image management and image databases 79 12 Operating system (os) and images 97 13 Graphics processing unit (GPU) 100 14 Storage and archive 101 15 Images in different disciplines 109 15.1 Microscopy 109 360° 15.2 Medical imaging 114 15.3 Astronomical images 117 15.4 Industrial imaging 360° 118 thinking. 16 Selection of best digital images 120 References: thinking. 124 360° thinking . 360° thinking. Discover the truth at www.deloitte.ca/careers Discover the truth at www.deloitte.ca/careers © Deloitte & Touche LLP and affiliated entities. Discover the truth at www.deloitte.ca/careers © Deloitte & Touche LLP and affiliated entities. -
Automatic Generation of a 3D City Model
UNIVERSITY OF CASTILLA-LA MANCHA ESCUELA SUPERIOR DE INFORMÁTICA COMPUTER ENGINEERING DEGREE DEGREE FINAL PROJECT Automatic generation of a 3D city model David Murcia Pacheco June, 2017 AUTOMATIC GENERATION OF A 3D CITY MODEL Escuela Superior de Informática UNIVERSITY OF CASTILLA-LA MANCHA ESCUELA SUPERIOR DE INFORMÁTICA Information Technology and Systems SPECIFIC TECHNOLOGY OF COMPUTER ENGINEERING DEGREE FINAL PROJECT Automatic generation of a 3D city model Author: David Murcia Pacheco Director: Dr. Félix Jesús Villanueva Molina June, 2017 David Murcia Pacheco Ciudad Real – Spain E-mail: [email protected] Phone No.:+34 625 922 076 c 2017 David Murcia Pacheco Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled "GNU Free Documentation License". i TRIBUNAL: Presidente: Vocal: Secretario: FECHA DE DEFENSA: CALIFICACIÓN: PRESIDENTE VOCAL SECRETARIO Fdo.: Fdo.: Fdo.: ii Abstract HIS document collects all information related to the Degree Final Project (DFP) of Com- T puter Engineering Degree of the student David Murcia Pacheco, tutorized by Dr. Félix Jesús Villanueva Molina. This work has been developed during 2016 and 2017 in the Escuela Superior de Informática (ESI), in Ciudad Real, Spain. It is based in one of the proposed sub- jects by the faculty of this university for this year, called "Generación automática del modelo en 3D de una ciudad". -
Benchmarks on WWW Performance
The Scalability of X3D4 PointProperties: Benchmarks on WWW Performance Yanshen Sun Thesis submitted to the Faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Application Nicholas F. Polys, Chair Doug A. Bowman Peter Sforza Aug 14, 2020 Blacksburg, Virginia Keywords: Point Cloud, WebGL, X3DOM, x3d Copyright 2020, Yanshen Sun The Scalability of X3D4 PointProperties: Benchmarks on WWW Performance Yanshen Sun (ABSTRACT) With the development of remote sensing devices, it becomes more and more convenient for individual researchers to acquire high-resolution point cloud data by themselves. There have been plenty of online tools for the researchers to exhibit their work. However, the drawback of existing tools is that they are not flexible enough for the users to create 3D scenes of a mixture of point-based and triangle-based models. X3DOM is a WebGL-based library built on Extensible 3D (X3D) standard, which enables users to create 3D scenes with only a little computer graphics knowledge. Before X3D 4.0 Specification, little attention has been paid to point cloud rendering in X3DOM. PointProperties, an appearance node newly added in X3D 4.0, provides point size attenuation and texture-color mixing effects to point geometries. In this work, we propose an X3DOM implementation of PointProperties. This implementation fulfills not only the features specified in X3D 4.0 documentation, but other shading effects comparable to the effects of triangle-based geometries in X3DOM, as well as other state-of-the-art point cloud visualization tools. -
Cloudcompare Point Cloud Processing Workshop Daniel Girardeau-Montaut
CloudCompare Point Cloud Processing Workshop Daniel Girardeau-Montaut www.cloudcompare.org @CloudCompareGPL PCP 2019 [email protected] December 4-5, 2019, Stuttgart, Germany Outline About the project Quick overview of the software capabilities Point cloud processing with CloudCompare The project 2003: PhD for EDF R&D EDF Main French power utility More than 150 000 employees worldwide 2 000 @ R&D (< 2%) 200 know about CloudCompare (< 0.2%) Sales >75 B€ > 200 dams + 58 nuclear reactors (19 plants) EDF and Laser Scanning EDF = former owner of Mensi (now Trimble Laser Scanning) Main scanning activity: as-built documentation Scanning a single nuclear reactor building 2002: 3 days, 50 M. points 2014: 1.5 days, 50 Bn points (+ high res. photos) EDF and Laser Scanning Other scanning activities: Building monitoring (dams, cooling towers, etc.) Landslide monitoring Hydrology Historical preservation (EDF Foundation) PhD Change detection on 3D geometric data Application to Emergency Mapping Inspired by 9/11 post-attacks recovery efforts (see “Mapping Ground Zero” by J. Kern, Optech, Nov. 2001) TLS was used for: visualization, optimal crane placement, measurements, monitoring the subsidence of the wreckage pile, slurry wall monitoring, etc. CloudCompare V1 2004-2006 Aim: quickly detecting changes by comparing TLS point clouds… with a CAD mesh or with another (high density) cloud CloudCompare V2 2007: “Industrialization” of CloudCompare … for internal use only! Rationale: idle reactor = 6 M€ / day acquired data -
Achieving Safe DICOM Software in Medical Devices
Master Thesis in Software Engineering & Management REPORT NO. 2009:003 ISSN: 1651-4769 Achieving Safe DICOM Software in Medical Devices Kevin Debruyn IT University of Göteborg Chalmers University of Technology and University of Gothenburg Göteborg, Sweden 2009 Student Kevin Debruyn (820717-2795) Contact Information Phone: +46 73 7418420 / Email: [email protected] Course Supervisor Karin Wagner Course Coordinator Kari Wahll Start and End Date 21 st of February 2008 to 30 th of March 2009 Size 30 Credits Subject Achieving Safe DICOM Software in Medical Devices Overview The present document constitutes the project report that introduces, develops and presents the results of the thesis carried out by a master student of the IT University in Göteborg, Software Engineering & Management during Spring 2008 through Spring 2009 at Micropos Medical AB . Summary This paper reports on an investigation on how to produce a reliable software component to extract critical information from DICOM files. The component shall manipulate safety-critical medical information, i.e. patient demographics and data specific to radiotherapy treatments including radiation target volumes and doses intensity. Handling such sensitive data can potentially lead to medical errors, and threaten the health of patients. Hence, guaranteeing reliability and safety is an essential part of the development process. Solutions for developing the component from scratch or reusing all or parts of existing systems and libraries will be evaluated and compared. The resulting component will be tested to verify that it satisfies its reliability requirements. Subsequently, the component is to be integrated within an innovating radiotherapy positioning system developed by a Swedish start-up, Micropos . -
A 3D Interactive Multi-Object Segmentation Tool Using Local Robust Statistics Driven Active Contours
A 3D interactive multi-object segmentation tool using local robust statistics driven active contours The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Gao, Yi, Ron Kikinis, Sylvain Bouix, Martha Shenton, and Allen Tannenbaum. 2012. A 3D Interactive Multi-Object Segmentation Tool Using Local Robust Statistics Driven Active Contours. Medical Image Analysis 16, no. 6: 1216–1227. doi:10.1016/j.media.2012.06.002. Published Version doi:10.1016/j.media.2012.06.002 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:28548930 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA NIH Public Access Author Manuscript Med Image Anal. Author manuscript; available in PMC 2013 August 01. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Med Image Anal. 2012 August ; 16(6): 1216–1227. doi:10.1016/j.media.2012.06.002. A 3D Interactive Multi-object Segmentation Tool using Local Robust Statistics Driven Active Contours Yi Gaoa,*, Ron Kikinisb, Sylvain Bouixa, Martha Shentona, and Allen Tannenbaumc aPsychiatry Neuroimaging Laboratory, Brigham & Women's Hospital, Harvard Medical School, Boston, MA 02115 bSurgical Planning Laboratory, Brigham & Women's Hospital, Harvard Medical School, Boston, MA 02115 cDepartments of Electrical and Computer Engineering and Biomedical Engineering, Boston University, Boston, MA 02115 Abstract Extracting anatomical and functional significant structures renders one of the important tasks for both the theoretical study of the medical image analysis, and the clinical and practical community. -
Seamless Texture Mapping of 3D Point Clouds
Seamless Texture Mapping of 3D Point Clouds Dan Goldberg Mentor: Carl Salvaggio Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology Rochester, NY November 25, 2014 Abstract The two similar, quickly growing fields of computer vision and computer graphics give users the ability to immerse themselves in a realistic computer generated environment by combining the ability create a 3D scene from images and the texture mapping process of computer graphics. The output of a popular computer vision algorithm, structure from motion (obtain a 3D point cloud from images) is incomplete from a computer graphics standpoint. The final product should be a textured mesh. The goal of this project is to make the most aesthetically pleasing output scene. In order to achieve this, auxiliary information from the structure from motion process was used to texture map a meshed 3D structure. 1 Introduction The overall goal of this project is to create a textured 3D computer model from images of an object or scene. This problem combines two different yet similar areas of study. Computer graphics and computer vision are two quickly growing fields that take advantage of the ever-expanding abilities of our computer hardware. Computer vision focuses on a computer capturing and understanding the world. Computer graphics con- centrates on accurately representing and displaying scenes to a human user. In the computer vision field, constructing three-dimensional (3D) data sets from images is becoming more common. Microsoft's Photo- synth (Snavely et al., 2006) is one application which brought attention to the 3D scene reconstruction field. Many structure from motion algorithms are being applied to data sets of images in order to obtain a 3D point cloud (Koenderink and van Doorn, 1991; Mohr et al., 1993; Snavely et al., 2006; Crandall et al., 2011; Weng et al., 2012; Yu and Gallup, 2014; Agisoft, 2014). -
An Open-Source Research Platform for Image-Guided Therapy
Int J CARS DOI 10.1007/s11548-015-1292-0 ORIGINAL ARTICLE CustusX: an open-source research platform for image-guided therapy Christian Askeland1,3 · Ole Vegard Solberg1 · Janne Beate Lervik Bakeng1 · Ingerid Reinertsen1 · Geir Arne Tangen1 · Erlend Fagertun Hofstad1 · Daniel Høyer Iversen1,2,3 · Cecilie Våpenstad1,2 · Tormod Selbekk1,3 · Thomas Langø1,3 · Toril A. Nagelhus Hernes2,3 · Håkon Olav Leira2,3 · Geirmund Unsgård2,3 · Frank Lindseth1,2,3 Received: 3 July 2015 / Accepted: 31 August 2015 © The Author(s) 2015. This article is published with open access at Springerlink.com Abstract Results The validation experiments show a navigation sys- Purpose CustusX is an image-guided therapy (IGT) research tem accuracy of <1.1mm, a frame rate of 20 fps, and latency platform dedicated to intraoperative navigation and ultra- of 285ms for a typical setup. The current platform is exten- sound imaging. In this paper, we present CustusX as a robust, sible, user-friendly and has a streamlined architecture and accurate, and extensible platform with full access to data and quality process. CustusX has successfully been used for algorithms and show examples of application in technologi- IGT research in neurosurgery, laparoscopic surgery, vascular cal and clinical IGT research. surgery, and bronchoscopy. Methods CustusX has been developed continuously for Conclusions CustusX is now a mature research platform more than 15years based on requirements from clinical for intraoperative navigation and ultrasound imaging and is and technological researchers within the framework of a ready for use by the IGT research community. CustusX is well-defined software quality process. The platform was open-source and freely available at http://www.custusx.org. -
Medical Image Processing Software
Wohlers Report 2018 Medical Image Processing Software Medical image Patient-specific medical devices and anatomical models are almost always produced using radiological imaging data. Medical image processing processing software is used to translate between radiology file formats and various software AM file formats. Theoretically, any volumetric radiological imaging dataset by Andy Christensen could be used to create these devices and models. However, without high- and Nicole Wake quality medical image data, the output from AM can be less than ideal. In this field, the old adage of “garbage in, garbage out” definitely applies. Due to the relative ease of image post-processing, computed tomography (CT) is the usual method for imaging bone structures and contrast- enhanced vasculature. In the dental field and for oral- and maxillofacial surgery, in-office cone-beam computed tomography (CBCT) has become popular. Another popular imaging technique that can be used to create anatomical models is magnetic resonance imaging (MRI). MRI is less useful for bone imaging, but its excellent soft tissue contrast makes it useful for soft tissue structures, solid organs, and cancerous lesions. Computed tomography: CT uses many X-ray projections through a subject to computationally reconstruct a cross-sectional image. As with traditional 2D X-ray imaging, a narrow X-ray beam is directed to pass through the subject and project onto an opposing detector. To create a cross-sectional image, the X-ray source and detector rotate around a stationary subject and acquire images at a number of angles. An image of the cross-section is then computed from these projections in a post-processing step. -
Avizo Software for Industrial Inspection
Avizo Software for Industrial Inspection Digital inspection and materials analysis Digital workflow Thermo Scientific™ Avizo™ Software provides a comprehensive set of tools addressing the whole research-to-production cycle: from materials research in off-line labs to automated quality control in production environments. 3D image data acquisition Whatever the part or material you need to inspect, using © RX Solutions X-ray CT, radiography, or microscopy, Avizo Software is the solution of choice for materials characterization and defect Image processing detection in a wide range of areas (additive manufacturing, aerospace, automotive, casting, electronics, food, manufacturing) and for many types of materials (fibrous, porous, metals and alloys, ceramics, composites and polymers). Avizo Software also provides dimensional metrology with Visual inspection Dimensional metrology Material characterization advanced measurements; an extensive set of programmable & defect analysis automated analysis workflows (recipes); reporting and traceability; actual/nominal comparison by integrating CAD models; and a fully automated in-line inspection framework. With Avizo Software, reduce your design cycle, inspection times, and meet higher-level quality standards at a lower cost. + Creation and automation of inspection and analysis workflows + Full in-line integration Reporting & traceability On the cover: Porosity analysis and dimensional metrology on compressor housing. Data courtesy of CyXplus 2 3 Avizo Software for Industrial Inspection Learn more at thermofisher.com/amira-avizo Integrating expertise acquired over more than 10 years and developed in collaboration with major industrial partners in the aerospace, Porosity analysis automotive, and consumer goods industries, Avizo Software allows Imaging techniques such as CT, FIB-SEM, SEM, and TEM, allow detection of structural defects in the to visualize, analyze, measure and inspect parts and materials. -
Respiratory Adaptation to Climate in Modern Humans and Upper Palaeolithic Individuals from Sungir and Mladeč Ekaterina Stansfeld1*, Philipp Mitteroecker1, Sergey Y
www.nature.com/scientificreports OPEN Respiratory adaptation to climate in modern humans and Upper Palaeolithic individuals from Sungir and Mladeč Ekaterina Stansfeld1*, Philipp Mitteroecker1, Sergey Y. Vasilyev2, Sergey Vasilyev3 & Lauren N. Butaric4 As our human ancestors migrated into Eurasia, they faced a considerably harsher climate, but the extent to which human cranial morphology has adapted to this climate is still debated. In particular, it remains unclear when such facial adaptations arose in human populations. Here, we explore climate-associated features of face shape in a worldwide modern human sample using 3D geometric morphometrics and a novel application of reduced rank regression. Based on these data, we assess climate adaptations in two crucial Upper Palaeolithic human fossils, Sungir and Mladeč, associated with a boreal-to-temperate climate. We found several aspects of facial shape, especially the relative dimensions of the external nose, internal nose and maxillary sinuses, that are strongly associated with temperature and humidity, even after accounting for autocorrelation due to geographical proximity of populations. For these features, both fossils revealed adaptations to a dry environment, with Sungir being strongly associated with cold temperatures and Mladeč with warm-to-hot temperatures. These results suggest relatively quick adaptative rates of facial morphology in Upper Palaeolithic Europe. Te presence and the nature of climate adaptation in modern humans is a highly debated question, and not much is known about the speed with which these adaptations emerge. Previous studies demonstrated that the facial morphology of recent modern human groups has likely been infuenced by adaptation to cold and dry climates1–9. Although the age and rate of such adaptations have not been assessed, several lines of evidence indicate that early modern humans faced variable and sometimes harsh environments of the Marine Isotope Stage 3 (MIS3) as they settled in Europe 40,000 years BC 10. -
Experimentální Porovnání Knihoven Na Detekci Emocí Pomocí Webkamery
MASARYKOVA UNIVERZITA FAKULTA INFORMATIKY Û¡¢£¤¥¦§¨ª«¬Æ°±²³´µ·¸¹º»¼½¾¿Ý Experimentální porovnání knihoven na detekci emocí pomocí webkamery DIPLOMOVÁ PRÁCE Bc. Milan Záleský Brno, podzim 2015 Prohlášení Prohlašuji, že tato diplomová práce je mým p ˚uvodnímautorským dílem, které jsem vypracoval samostatnˇe.Všechny zdroje, prameny a literaturu, které jsem pˇrivypracování používal nebo z nich ˇcerpal,v práci ˇrádnˇecituji s uvedením úplného odkazu na pˇríslušnýzdroj. Bc. Milan Záleský Vedoucí práce: RNDr. Zdenek Eichler i Klíˇcováslova OpenCV, facial expression analysis, webcam, experiment, emotion, detekce emocí, experimentální porovnání ii Podˇekování DˇekujiRNDr. Zdenku Eichlerovi, vedoucímu mé práce, za výteˇcnémento- rování, ochotu pomoci i optimistický pˇrístup, který v pr ˚ubˇehumého psaní projevil. Dˇekujisvým pˇrátel˚uma rodinˇeza opakované vyjádˇrenípodpory. V neposlední ˇradˇetaké dˇekujivšem úˇcastník˚umexperimentu, bez jejichž pˇrispˇeníbych porovnání nemohl uskuteˇcnit. iii Obsah 1 Úvod ...................................1 2 Rozpoznávání emocí ..........................2 2.1 Co je to emoce? . .2 2.2 Posouzení emocí . .3 2.3 Využití informaˇcníchtechnologií k rozpoznávání emocí . .3 2.3.1 Facial Action Coding System . .5 2.3.2 Computer vision . .6 2.3.3 OpenCV . 11 2.3.4 FaceTales . 13 3 Metoda výbˇeruknihoven pro rozpoznávání emocí ........ 15 3.1 Kritéria užšího výbˇeru . 15 3.2 Instalace knihoven . 17 3.3 Charakteristika knihoven zvolených pro srovnání . 20 3.3.1 CLMtrackr . 20 3.3.2 EmotionRecognition . 22 3.3.3 InSight SDK . 24 3.3.4 Vzájemné porovnání aplikací urˇcenýchpro experiment 25 4 Návrh experimentu ........................... 27 4.1 Pˇrípravaexperimentálního porovnání knihoven . 28 4.2 Promˇennéexperimentu . 29 4.2.1 Nezávislé promˇenné. 29 4.2.2 Závislé promˇenné . 29 4.2.3 Sledované promˇenné . 30 4.2.4 Vnˇejšípromˇenné .