Lecture Notes in Computer Science 9219

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, Zürich, 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, 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 Yu-Jin Zhang (Ed.)

Image and Graphics 8th International Conference, ICIG 2015 Tianjin, China, August 13–16, 2015 Proceedings, Part III

123 Editor Yu-Jin Zhang Department of Electronic Engineering Tsinghua University Beijing China

ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-319-21968-4 ISBN 978-3-319-21969-1 (eBook) DOI 10.1007/978-3-319-21969-1

Library of Congress Control Number: 2015944504

LNCS Sublibrary: SL6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics

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Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www.springer.com) Preface

These are the proceedings of the 8th International Conference on Image and Graphics (ICIG 2015), held in Tianjin, China, during August 13–16, 2015. The China Society of Image and Graphics (CSIG) have organized this series of ICIG conferences since 2000. This time, Microsoft Research Asia was the co-organizer, and the Tianjin Society of Image and Graphics was again the host. Some information about the past seven conferences, as well as the current one, can be found in the following table:

Conference Place Date Sub. Proc. First (ICIG 2000) Tianjin, China August 16–18 220 156 Second (ICIG 2002) Hefei, China August 15–18 280 166 Third (ICIG 2004) Hong Kong, China December 17–19 460 140 Fourth (ICIG 2007) Chengdu, China August 22–24 525 184 Fifth (ICIG 2009) Xi’an, China September 20–23 362 179 Sixth (ICIG 2011) Hefei, China August 12–15 329 183 Seventh (ICIG 2013) Qingdao, China July 26–28 346 181 Eighth (ICIG 2015) Tianjin, China August 13–16 345 170

This time, the proceedings are published by Springer in their LNCS series. The titles, abstracts, and biographies of the five invited speakers of plenary talks are pre- sented first. To ease in the search of a required paper in these proceedings, the 164 regular papers have been arranged in alphabetical order according to their titles. Another six papers forming a special topic are included at the end. Sincere thanks go to all the contributors (around 1,000), who came from around the world to present their advanced works at this event. Special thanks go to the members of Technical Program Committee (more than 100 with half from outside of mainland China) who carefully reviewed every single submission and made their valuable comments for improving the accepted papers. The proceedings could not have been produced without the invaluable efforts of the publication chairs, the web chairs, and a number of active members of CSIG.

June 2015 Yu-Jin Zhang Organizing Committee

(Alphabetical Listing)

Honorary Chairs

Thomas Huang University of Illinois at Urbana-Champaign, USA Yunhe Pan Chinese Academy of Engineering, China Guanhua Xu Ministry of Science and Technology, China

General Chairs

Chang Wen Chen State University of New York at Buffalo, USA Wen Gao Peking University, China Yong Rui Microsoft Research Asia, China

Program Committee Chairs

Ioannis Pitas Aristotle University of Thessaloniki, Greece Yu-Jin Zhang Tsinghua University, China Ce Zhu University of Electronic Science and Technology, China

Publicity Chairs

Shuo Li GE Healthcare, Canada Hanzi Wang Xiamen University, China

Publication Chairs

Yanwei Pang Tianjin University, China Lei Wang University of Wollongong, Australia

Organizing Committee Chairs

Gang Cheng Tianjin Jinhang Computing Technology Research Institute, China Guohui Ding Tianjin Jinhang Computing Technology Research Institute, China Kailong Liu China Society of Image and Graphics, China Tao Mei Microsoft Research Asia, China Nenghai Yu University of Science and Technology of China, China VIII Organizing Committee

Overseas Liaisons

Guobin Wu Microsoft Research Asia, China Lun Yu Fuzhou University, China David Zhang Hong Kong Polytechnic University, Hong Kong, SAR China

Finance Chair

Boxia Xu Tianjin Jinhang Computing Technology Research Institute, China

Exhibition Liaison

Xiaojuan Yu China Society of Image and Graphics

Web Chairs

Yang Xu Tianjin Society of Image and Graphics, China Mandun Zhang Hebei University of Technology, China

Local Arrangements Chair

Dianguo Zhang Tianjin Jinhang Computing Technology Research Institute, China

Technical Program Committee

Ru An Hohai University, China Huihui Bai Beijing Jiaotong University, China Xiao Bai Beihang University, China Josep Blat Universitat Pompeu Fabra, Spain Zhanchuan Cai Macau University of Science and Technology, Macau, SAR China Huibin Chang Tianjin Normal University, China Chao Chen Rutgers University, USA Fuhua Chen West Liberty University, USA Jiansheng Chen Tsinghua University, China Jyh-Cheng Chen National Yang Ming University, Taiwan, China Wei Chen UIUC, ECE, USA Mingming Cheng Nankai University, China Wen-Huang Cheng Academia Sinica, Taiwan, China Casey Chow University of Wollongong, Australia Shen-Yang Dai Google Inc., USA Xiang Deng GE Healthcare, China Fuqing Duan Beijing Normal University, China Thomas Fevens Concordia University, Canada Organizing Committee IX

Pascal Frossard École Polytechnique Fédérale de Lausanne, Switzerland Shujun Fu Shandong University, China Fei Gao Siemens, USA Junbin Gao Charles Sturt University, Australia Yongying Gao Beijing Huaxingvision Technologies Co., Ltd., China Zexun Geng Information and Engineering University, PLA, China Guodong Guo West Virginia University, USA Zhiqiang Hou Air Force Engineering University, China Dong Hu Nanjing University of Posts and Telecommunications, China Xuelong Hu Yangzhou University, China Fan Jiang Facebook Inc., USA Xiangwei Kong Dalian University of Technology, China Adam Krzyzak Concordia University, Canada Dengfeng Kuang Nankai University, Tianjin, China Chaofeng Li Jiangnan University, China Peihua Li Dalian University of Technology, China Shuai Li University of Electronic Science and Technology, China Xuelong Li Chinese Academy of Science, China Zhu Li Samsung Telecomm America, USA Haixia Liang Xi’an Jiaotong-Liverpool University, China Jianming Liang University of Arizona, USA Yawei Liang Royal Military College of Canada, Canada Shu Liao Siemens Medical Solutions, USA Baodi Liu China University of Petroleum, China Jun Liu Beijing Normal University, China Lingqia Liu University of Adelaide, Australia Wenyu Liu Huazhong University of Science and Technology, China Xiaofeng Liu GE Global Research, USA Xiao Min Liu Hologic Inc., USA Huimin Lu Kyushu Institute of Technology, Japan Le Lu NIH, USA Bin Luo Anhui University, China Xiongbiao Luo University of Western Ontario, Canada Jianhua Ma Southern Medical University, China Tao Mei Microsoft Research Asia, China Yanwei Pang Tianjin University, China Charley Paulus Canal+ (French TV channel), France Mingtao Pei Beijing Institute of Technology, China Son Lam Phung University of Wollongong, Australia Qiuqi Ruan Beijing Jiaotong University, China Bing Shen Purdue University, USA Shengli Sheng University of Central Arkansas, USA Yuying Shi North China Electric Power University, China Weidong Sun Tsinghua University, China Xue-Cheng Tai University of Bergen, Norway Huachun Tan Beijing Institute of Technology, China X Organizing Committee

Jinshan Tang Michigan Technological University, USA Linmi Tao Tsinghua University, China Yun Tian Beijing Normal University, China Massimo Tistarelli University of Sassari PolComing, Italy Yan Tong University of South Carolina, USA Guanghui Wang University of Kansas, USA Guijin Wang Tsinghua University, China Hanzi Wang Xiamen University, China Jiening Wang Civil Aviation University of China, China Kai Wang Nankai University, China Lei Wang University of Wollongong, Australia Wei Wang Tongji University, China Yuanquan Wang Tianjin University of Technology, China Yu-Xiong Wang Carnegie Mellon University, USA Zhijie Wang GE Healthcare, Canada Chunlin Wu Nankai University, China Guobin Wu Microsoft Research Asia, China Jonathan Wu University of Windsor, Canada Liang Xiao Nanjing University of Science and Technology, China Zhitao Xiao Tianjin Polytechnic University, China Feng Xu Samsung, USA Jing Xu Zhejiang Gongshang University, China Ziyue Xu NIH, USA Jing-Hao Xue University College London, UK Fengbao Yang North University of China, China Jinfeng Yang Civil Aviation University of China, China Jufeng Yang Nankai University, China Jianhua Yao NIH, USA Hengyong Yu Wake Forest University USA Nenghai Yu University of Science and Technology of China, China Xin-Nan Yu Google, Inc., USA Tieyong Zeng Hong Kong Baptist University, Hong Kong, SAR China Yinwei Zhan Guangdong University of Technology, China Yiqiang Zhan Siemens Medical Solution, USA Yongzhao Zhan Jiangsu University, China Cha Zhang Microsoft, USA Lei Zhang THALES, Hong Kong, SAR China Qiang Zhang Dalian University, China Xuebo Zhang Nankai University, China Yu-Jin Zhang Tsinghua University, China Xi-Le Zhao University of Electronic Science and Technology, China Guoyan Zheng University of Bern, Switzerland Jun Zhou Griffith University, Australia Luping Zhou University of Wollongong, Australia Shoujun Zhou Chinese Academy of Sciences, China Xiangrong Zhou Gifu University, Japan Organizing Committee XI

Ce Zhu University of Electronic Science and Technology, China Xiao-Qin Zhu Cisco Systems Inc., USA Yong-Gui Zhu Communication University of China, China Xiahai Zhuang Shanghai Jiao Tong University, China Wangmeng Zuo Harbin Institute of Technology, China Plenary Talks From Shape-from-Shading Through e-Heritage

Katsushi Ikeuchi

The University of Tokyo http://www.cvl.iis.u-tokyo.ac.jp/*ki/katsu-index-j3.html

Abstract. This talk overviews my research activities from the shape-from-shading through the current e-Heritage project, which digitizes tangible and intangi- ble heritage, analyzes such data for archaeological research and displays in the cloud computer for preser- vation and promotion. I began my post-doctoral career at MIT working on shape-from-shading under BKP Horn. Later, I began a project at CMU, with Raj Reddy and Takeo Kanade, to obtain not only shape but also reflectance. This attempt later grew into image-based modeling. After returning to Japan, I applied these modeling and analyzing techniques for the preservation, analysis, and promotion of cultural heritage. In this talk, I will not only cover current results but also overview the flow of research conducted along this line with emphasis on what were the motivations and how each research step moved into the next level of research; I will also try to extract key lessons learned through these activities. This is an extended version of my distinguished researcher award talk at Barcelona ICCV with the addition of new archaeological findings obtained from the analysis of the e-Heritage data.

References

1. Ikeuchi, K., Horn, B.K.P: Numerical shape from shading with occluding boundaries. AIJ 17, 141–184 2. Ikeuchi, K., Miyazaki, D.: Digitally Archiving Cultural Objects. Springer

Biography

Dr. Katsushi Ikeuchi is Professor at the University of Tokyo. He received a PhD degree in Information Engineering from the University of Tokyo in 1978. After working at the Massachusetts Institute of Technology’s AI Lab for 2 years, at the Electro-technical Lab, Japan, for 5 years, and Carnegie Mellon University for 10 years, he joined Tokyo University in 1996. His research interest spans computer vision, robotics, and computer graphics. He was general/program chair of more than a dozen international conferences, including IROS 1995, CVPR 1996, ICCV 2003, ICRA 2009, and ICPR XVI K. Ikeuchi

2012. He is an EIC of International Journal of Computer Vision. He has received several awards, including the IEEE Marr Award, the IEEE RAS “most active distinguished lecturer” award, and the IEEE PAMI-TC Distinguished Researcher Award as well as ShijuHoushou (the Medal of Honor with purple ribbon) from the Emperor of Japan. He is a fellow of the IEEE, IEICE, IPSJ, and RSJ. Tasking on the Natural Statistics of Pictures and Videos

Alan Conrad Bovik

Laboratory for Image and Video Engineering (LIVE) The University of Texas at Austin

Abstract. I will discuss a variety of topics related to the statistics of pictures and videos of the real world, how they relate to visual perception, and most importantly how they can be used to accomplish perceptually relevant picture-processing and video-processing tasks. Underlying my talk is the thesis that pictures and videos of the real world obey lawful statistical behavior that can be modeled. These models supply useful statistical priors that can be used to define or regularize the solutions to a variety of visual problems. I will address the application of these models to such visual tasks as visual quality assessment, efficient video data delivery in rate-adaptive network environments, face detection in difficult environments, and depth estimation from a single image. I will describe the ongoing work in LIVE in these areas and pose some general problems to be solved in the future.

Biography

Al Bovik is the Curry/Cullen Trust Endowed Chair Professor at The University of Texas at Austin. He has received a number of major awards from the IEEE Signal Processing Society, including: the Society Award (2013); the Technical Achievement Award (2005); the Best Paper Award (2009); the Education Award (2007); the Magazine Best Paper Award (2013); the Distinguished Lecturer Award (2000); the Young Author Best Paper Award (2013); and the Meritorious Service Award (1998). He has also received the SPIE Technology Achievement Award in 2012, the IS&T Honorary Membership in 2014, and was named Imaging Scientist of the Year by IS&T/SPIE in 2011. He is the author/co-author of The Handbook of Image and Video Processing, Modern Image Quality Assessment, and two recent books, The Essential Guides to Image and Video Processing. Al co-founded and was the longest-serving Editor-in-Chief of the IEEE Transac- tions on Image Processing (1996–2002), and created and served as the first General Chairman of the IEEE International Conference on Image Processing, held in Austin, Texas, in November, 1994. Region of Interest Coding for Monitoring the Ground with an Unmanned Aerial Vehicle

Jörn Ostermann

Electrical Engineering and Communications Engineering The University of Hannover and Imperial College London

Abstract. For the transmission of aerial surveillance videos taken from unmanned aerial vehicles, region-of-interest-based coding systems are of growing interest in order to cope with the limited channel capacities available. We present a fully automatic detection and coding system that is capable of transmit- ting HD-resolution aerial videos at bit rates below 1 Mbit/s. In order to achieve this goal, we extend the video coder HEVC by affine global motion compensation. Results of the computer vision algorithms control the extended HEVC encoder. For detection of moving objects, we analyze the video and compare a motion-compensated previous image with the current image. Image segmentation based on superpixels helps to select entire moving objects. In order to achieve low false-positive rates and low data rates, we use different motion-compensation algorithms for video analysis and video coding. Depending on the size of the moving objects on the ground, we can save up to 90 % of the data rate of regular HEVC without loss of image quality and the additional benefit of providing a mosaic of the video with moving objects.

Biography

Jörn Ostermann studied Electrical Engineering and Communications Engineering at the University of Hannover and Imperial College London, respectively. He received Dipl.- Ing. and Dr.-Ing. degrees from the University of Hannover in 1988 and 1994, respectively. From 1988 to 1994, he worked as Research Assistant at the Institut für Theoretische Nachrichtentechnik conducting research in low bit-rate and object-based analysis-synthesis video coding. In 1994 and 1995 he worked in the Visual Communications Research Department at AT&T Bell Labs on video coding. He was a member of Image Processing and Technology Research within AT&T Labs– Research from 1996 to 2003. Since 2003 he is Full Professor and Head of the Institut für Informationsverarbeitung at the Leibniz Universität Hannover (LUH), Germany. From 2007 to 2011, he served as head of the Laboratory for Information Technology. From 1993 to 1994, he chaired the European COST 211 sim group coordinating research in low bit-rate video coding. Within MPEG-4, he organized the evaluation of Region of Interest Coding for Monitoring XIX video tools to start defining the standard. He chaired the Ad Hoc Group on Coding of Arbitrarily Shaped Objects in MPEG-4 Video. Since 2008, he has been the Chair of the Requirements Group of MPEG (ISO/IEC JTC1 SC29 WG11). From 2011 to 2013, he served as Dean of the Faculty of Electrical Engineering and Computer Science at LUH. Jörn was a scholar of the German National Foundation. In 1998, he received the AT&T Standards Recognition Award and the ISO award. He is a Fellow of the IEEE (class of 2005) and member of the IEEE Technical Committee on Multimedia Signal Processing and past chair of the IEEE CAS Visual Signal Processing and Commu- nications (VSPC) Technical Committee. Jörn served as a Distinguished Lecturer of the IEEE CAS Society (2002/2003). He has published more than 100 research papers and book chapters. He is coauthor of a graduate-level textbook on video communications. He holds more than 30 patents. His current research interests are video coding and streaming, computer vision, 3D modeling, face animation, and computer–human interfaces. Big Data in Smart City

Deren Li

State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China

Abstract. In this lecture, I will introduce the concept of smart city and summarize its development process. Then, I will describe the key technologies of smart cities and the proposed smart city infrastructure. Smart city is based on digital city, Internet of Things (IOT), and cloud computing, which will integrate the real world with the digital world. In order to achieve a comprehensive awareness and control of people and things, with intelligent service followed, smart city with mass sensors will continue to collect vast amounts of data, called big data. Typical types of big data such as geospatial image, graph and video data, are analyzed in my talk. The big data of smart city are not only a frontier, but also the driving force to promote the development of smart city, which will bring new opportunities and challenges. I will also propose a strategy for dealing with big data and will define the basic framework for a smart city big data operation center, which will eventually lead to a bright future for smart cities.

Keywords: Smart city; Big data; Digital city; IOT; Cloud computing; Intelligence service; Data mining; smart city big data operation center

Biography

Prof. Dr.-Ing Li Deren is a researcher in photogrammetry and remote sensing, and is a member of both the Chinese Academy of Sciences and the Chinese Academy of Engineering as well as the Euro-Asia International Academy of Science. He is a professor and PhD supervisor at Wuhan University, and is Vice-President of the Chinese Society of Geodesy, Photogrammetry and Cartography, and Chairman of the Academic Commission of Wuhan University and the National Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS). He has concentrated on research and education in spatial information science and technology represented by remote sensing (RS), global navigation satellite systems (GNSSs), and geographic information systems (GISs). His majors are analytic and digital photogrammetry, remote sensing, mathematical morphology and its application Big Data in Smart City XXI in spatial databases, theories of object-oriented GIS and spatial data mining in GIS, as well as mobile mapping systems, etc. Professor Deren Li served as Comm. III and Comm. VI President of ISPRS in the periods 1988–1992 and 1992–1996, worked for CEOS during 2002–2004, and was president of the Asia GIS Association during 2003–2006. He received the title Dr.h.c. from ETH in 2008. In 2010 and 2012 he was elected ISPRS fellow and honorary member. Computing Paradigms: Transformation and Opportunities Thinking on Data Science and Machine Intelligence

Jinpeng Huai President, Beihang University, China

Abstract. The arrival of the big data era is changing our traditional understanding and methodologies of comput- ing. This includes, for example, the possibility of accessing enormous and statistically diversified data in their entirety, the shift from exactitude to inexactitude and from the pursuit of accuracy to quick forecasts of macro trends, and the possibility of extracting correla- tions across domains. On the verge of this paradigm shift, we advocate three important features desirable in big data computa- tion: inexactness, incrementalness, and inductiveness (3 Is). Firstly, finding inexact solutions with bounds shall substitute seeking exact solutions in the traditional regime. Secondly, incremental models and algorithms are desired to accommodate data that are being continuously and rapidly produced and updated. Finally, correlations hidden among multiple data sources present greater demands for induction and pattern generalization. We will discuss relevant scientific problems exemplifying these three computing features.

Biography

Dr. Huai Jinpeng, born in December 1962, is Fellow of the Chinese Academy of Sciences and President of Beihang University (BUAA) in Beijing, China. He received his PhD in Computer Science from Beihang University. Dr. Huai’s research focus has been on computer science and software. His work has effectively broken through the limitations and difficulties of network resource sharing and utilization. He has established algebraic theories and algorithms for cryptographic protocol analyses, which greatly improved the security of critical information systems. He has also proposed a “zero-programming” model for process-oriented software developments, which significantly enhanced the automatic development of large-scale distributed applications. These works have benefited China’s economic and social development. Dr. Huai has won many prominent awards, including second prize in the National Award of Scientific and Technological Advancement (twice), second prize in the National Award of Technological Invention, the Scientific and Technological Advancement Award from the Ho Leung Ho Lee Fund, the 4th IET-Founder Computing Paradigms: Transformation and Opportunities XXIII

University President Award, and the insignia of Knight of French National Order of the Legion of Honor. He has published more than 120 papers, owns more than 30 Chinese patents, has been invited to 14 international conferences as a keynote speaker, and has chaired conferences of considerable importance, such as WWW 2008 and SRDS 2007. Dr. Huai has been Chief Scientist on the Steering Committees on the IT domain and advanced computing technology subject, both of the National High-Tech R&D Program (863 Program), since 2001. He is also Chair of the Steering Committee on Foundational Software for National Science and Technology Major Project and Deputy Chair of the China Computer Federation. He has made significant contributions to national strategic R&D planning and the industrialization of information technology, especially computing in China. Contents – Part III

Pan-Sharpening via Coupled Unitary Dictionary Learning ...... 1 Shumiao Chen, Liang Xiao, Zhihui Wei, and Wei Huang

Partial Differential Equation Inpainting Method Based on Image Characteristics ...... 11 Fang Zhang, Ying Chen, Zhitao Xiao, Lei Geng, Jun Wu, Tiejun Feng, Ping Liu, Yufei Tan, and Jinjiang Wang

Patch-Based Visual Tracking with Two-Stage Multiple Kernel Learning . . . . 20 Heng Fan and Jinhai Xiang

Pattern Classification for Dermoscopic Images Based on Structure Textons and Bag-of-Features Model ...... 34 Yang Li, Fengying Xie, Zhiguo Jiang, and Rusong Meng

Performance-Driven Facial Expression Real-Time Animation Generation . . . . 46 Zhang Mandun, Huo Jianglei, Na Shenruoyang, and Huang Chunmeng

Person Re-identification with Density-Distance Unsupervised Salience Learning ...... 55 Baoliang Zhou, Aihua Zheng, Bo Jiang, Chenglong Li, and Jin Tang

Phase Unwrapping Method Based on Heterodyne Three Frequency Non-equal Step Phase Shift ...... 68 Lei Geng, Yang Liu, Zhitao Xiao, Jun Wu, Yang Zhang, Fei Yuan, Zhenjie Yang, Peng Gan, Jingjing Su, and Kun Ye

Photon Shooting with Programmable Scalar Contribution Function ...... 80 Quan Zheng and Changwen Zheng

Real-Time Locating Method for Palmvein Image Acquisition ...... 94 Yaqin Liu, Yujia Zhou, Shirong Qiu, Jirui Qin, and Yixiao Nie

Real-Time Panoramic Image Mosaic via Harris Corner Detection on FPGA ...... 111 Lu Chen, Jing Han, Yi Zhang, and Lian-fa Bai

Real-Time Robust Video Stabilization Based on Empirical Mode Decomposition and Multiple Evaluation Criteria ...... 125 Jun Yu, Chang-wei Luo, Chen Jiang, Rui Li, Ling-yan Li, and Zeng-fu Wang XXVI Contents – Part III

Real-Time Underwater Image Contrast Enhancement Through Guided Filtering...... 137 Huimin Lu, Yujie Li, Xuelong Hu, Shiyuan Yang, and Seiichi Serikawa

Recent Progress of Structural Variations Detection Algorithms Based on Next-Generation Sequencing: A Survey...... 148 Zhen-Le Wei

Recognition of In-air Handwritten Chinese Character Based on Leap Motion Controller ...... 160 Ning Xu, Weiqiang Wang, and Xiwen Qu

Relations Between Minkowski-Reduced Basis and h-orthogonal Basis of Lattice ...... 169 Yuyun Chen, Gengran Hu, Renzhang Liu, Yanbin Pan, and Shikui Shang

Research on Image Quality Assessment in Foggy Conditions ...... 180 Wenjun Lu, Congli Li, Xiaoning Sun, and Song Xue

Research on Vehicle Type Classification Based on Spatial Pyramid Representation and BP Neural Network ...... 188 Shaoyue Song and Zhenjiang Miao

RGB-D Sensors Calibration for Service Robots SLAM ...... 197 Yue Sun, Jingtai Liu, and Lei Sun

Road Detection Based on Image Boundary Prior...... 212 Huan Wang, Yan Gong, Yangyang Hou, and Ting Cao

Robust and Real-Time Lane Marking Detection for Embedded System . . . . . 223 Yueting Guo, Yongjun Zhang, Sha Liu, Jun Liu, and Yong Zhao

Robust Contour Tracking via Constrained Separate Tracking of Location and Shape ...... 236 Huijun Di, Linmi Tao, and Guangyou Xu

Robust Face Hallucination via Similarity Selection and Representation . . . . . 247 Feng Liu, Ruoxuan Yin, Zongliang Gan, Changhong Chen, and Guijin Tang

Robust Face Recognition with Locality-Sensitive Sparsity and Group Sparsity Constraints...... 260 Xi Sun, Wentao Chan, and Lei Qu

Robust Salient Object Detection and Segmentation ...... 271 Hong Li, Wen Wu, and Enhua Wu

Rough Lane Marking Locating Based on Adaboost ...... 285 Wuwen Jin and Mingwu Ren Contents – Part III XXVII

S-box: L-L Cascade Chaotic Map and Line Map...... 297 Ye Tian and Zhimao Lu

Scene Character and Text Recognition: The State-of-the-Art...... 310 Chongmu Chen, Da-Han Wang, and Hanzi Wang

Segmentation of Intra-retinal Layers in 3D Optic Nerve Head Images ...... 321 Chuang Wang, Yaxing Wang, Djibril Kaba, Haogang Zhu, You Lv, Zidong Wang, Xiaohui Liu, and Yongmin Li

Simple, Accurate, and Robust Nonparametric Blind Super-Resolution ...... 333 Wen-Ze Shao and Michael Elad

Simulation of Interaction Between Fluid and Deformable Bodies ...... 349 Ka-Hou Chan, Wen Wu, and Wei Ke

Single Image Dehazing Based on Visual-Physical Model ...... 360 Wang Lin, Bi Du-Yan, Li Quan-He, and He Lin-Yuan

Single Image Super Resolution Algorithm with a New Dictionary Learning Technique K-Eigen Decomposition ...... 369 Yingyue Zhou, Hongbin Zang, Su Xu, and Hongying Zhang

Single Remote Sensing Image Haze Removal Based on Spatial and Spectral Self-Adaptive Model ...... 382 Quan Yuan, Huanfeng Shen, and Huifang Li

Small Infrared Target Detection Based on Low-Rank Representation ...... 393 Min Li, Yu-Jie He, and JinLi Zhang

Sophisticated Tracking Framework with Combined Detector...... 402 Gwangmin Choe, Tianjiang Wang, Qi Feng, Chunhwa Choe, Sokmin Han, and Hun Kim

Sparse Representation-Based Deformation Model for Atlas-Based Segmentation of Liver CT Images...... 410 Changfa Shi, Jinke Wang, and Yuanzhi Cheng

Survey of Astronomical Image Processing Methods...... 420 Hai Jing Zhu, Bo Chong Han, and Bo Qiu

Synthesis of High Dynamic Range Image Based on Logarithm Intensity Mapping Function...... 430 Shaojun Zhang, Sheng Zhang, Hailong Cheng, and Chuan Jiang

Temporal Domain Group Sparse Representation Based Cloud Removal for Remote Sensing Images ...... 444 Xinghua Li, Huanfeng Shen, Huifang Li, and Qiangqiang Yuan XXVIII Contents – Part III

Text to Head Motion Synthesis for Chinese Sign Language Avatar ...... 453 Wenjing He, Junfa Liu, and Yiqiang Chen

The Real-Time Vision System for Fabric Defect Detection with Combined Approach ...... 460 Pengfei Li, Zhuo Zhao, Lei Zhang, Hongwei Zhang, and Junfeng Jing

The Research of Long Time Occlusion Problem Based on Object Permanence ...... 474 Xiang-Dan Hou and Ming-Jing Zhang

The Segmentation Interventricular Septum from MR Images...... 483 Qian Zheng, Zhentai Lu, Minghui Zhang, Shengli Song, Huan Ma, Lujuan Deng, Zhifeng Zhang, Qianjin Feng, and Wufan Chen

Two-Stage Learning to Robust Visual Track via CNNs ...... 491 Dan Hu, Xingshe Zhou, Xiaohao Yu, and Zhiqiang Hou

Undersampled Dynamic MRI Reconstruction by Double Sparse Spatiotemporal Dictionary ...... 499 Juerong Wu, Dongxiao Li, Xiaotian Qiao, Lianghao Wang, and Ming Zhang

Underwater Image Devignetting and Colour Correction ...... 510 Yujie Li, Huimin Lu, and Seiichi Serikawa

Video Based Face Tracking and Animation ...... 522 Changwei Luo, Jun Yu, Zhigang Zheng, Bin Cai, Lingyun Yu, and Zengfu Wang

Video Stabilization via Piecewise Linear L1 Optimization for Airship Earth Observation ...... 534 Xiaozhou Xu, Jing Yu, and Weidong Sun

Special Topic: Edutainment and Application

Automated Procedural Generation of Urban Environments Using Open Data for City Visualisation ...... 545 David Tully, Abdennour El Rhalibi, Zhigeng Pan, Christopher Carter, and Sud Sudirman

Nonlocal and Nonlinear Model in Image Editing Technique ...... 552 Yanxia Bao, Yang Shen, and Xinting Wang

Mesh Extraction from a Regular Grid Structure Using Adjacency Matrix . . . . 562 David Tully, Abdennour El Rhalibi, Zhigeng Pan, Christopher Carter, and Sud Sudirman Contents – Part III XXIX

Investigation on the Influence of Visual Attention on Image Memorability . . . 573 Wulin Wang, Jiande Sun, Jing Li, Qiang Wu, and Ju Liu

Predicting and Visualising City Noise Levels to Support Tinnitus Sufferers. . . 583 William Hurst, Graham Davis, Abdennour El Rhalibi, David Tully, and Zhigeng Pan

Heart-Creates-Worlds: An Aesthetic Driven Fitness Training System ...... 599 Lizhen Han, Mingmin Zhang, Feng Tian, and Xinting Wang

Author Index ...... 609