Fast Epi Based Depth for Plenoptic Cameras

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Fast Epi Based Depth for Plenoptic Cameras 2013 IEEE International Conference on Image Processing (ICIP 2013) Melbourne, Australia 15-18 September 2013 Pages 1-746 IEEE Catalog Number: CFP13CIP-POD ISBN: 978-1-4799-2342-7 1/6 TABLE OF CONTENTS MA-L1: SENSING AND ACQUISITION MA-L1.1: FAST EPI BASED DEPTH FOR PLENOPTIC CAMERAS..........................................................1 Mithun Uliyar, Gururaj Putraya, Basavaraja Sv, Nokia India, India MA-L1.2: GRADIENT-BASED TIME TO CONTACT ON PARACATADIOPTRIC CAMERA ..............5 Fatima Zahra Benamar, Mohammed V-Agdal University, Morocco; Sanaa El Fkihi, ENSIAS,Mohamed V-Souissi University, Morocco; Cédric Demonceaux, University of Burgundy, France; El Mustapha Mouaddib, University of Picardie Jules Verne, France; Driss Aboutajdine, Mohammed V-Agdal University, Morocco MA-L1.3: MEASUREMENT CODING FOR COMPRESSIVE IMAGING USING A ..............................10 STRUCTURAL MEASUREMNET MATRIX Khanh Quoc Dinh, Hiuk Jae Shim, Byeungwoo Jeon, Sungkyunkwan University, Republic of Korea MA-L1.4: ADAPTIVE TEMPORAL COMPRESSIVE SENSING FOR VIDEO ........................................14 Xin Yuan, Jianbo Yang, Patrick Llull, Xuejun Liao, Guillermo Sapiro, David Brady, Lawrence Carin, Duke University, United States MA-L1.5: GAUSSIAN MIXTURE MODEL FOR VIDEO COMPRESSIVE SENSING ............................19 Jianbo Yang, Xin Yuan, Xuejun Liao, Patrick Llull, Guillermo Sapiro, David Brady, Lawrence Carin, Duke University, United States MA-L1.6: A FAST AND ACCURATE RE-CALIBRATION TECHNIQUE FOR MISALIGNED ..........24 STEREO CAMERAS Mihail Georgiev, Atanas Gotchev, Tampere University of Technology, Finland; Miska M. Hannuksela, Nokia Research Center, Finland MA-L1.7: VIDEO STABILIZATION WITH L1-L2 OPTIMIZATION........................................................29 Hui Qu, Li Song, Shanghai Jiao Tong University, China MA-L2: IMAGE DENOISING MA-L2.1: IMPROVING K-SVD DENOISING BY POST-PROCESSING ITS ........................................435 METHOD-NOISE Yaniv Romano, Michael Elad, Technion - Israel Institute of Technology, Israel MA-L2.2: DUAL-DOMAIN IMAGE DENOISING .......................................................................................440 Claude Knaus, Matthias Zwicker, University of Bern, Switzerland MA-L2.3: COMPLEX WAVELET JOINT DENOISING AND DEMOSAICING USING ......................445 GAUSSIAN SCALE MIXTURES Bart Goossens, Jan Aelterman, Hiep Quang Luong Luong, Aleksandra Pizurica, Wilfried Philips, Ghent University, Belgium MA-L2.4: L INFINITY TOTAL GENERALIZED VARIATION FOR COLOR IMAGE ......................449 RECOVERY Takamichi Miyata, Chiba Institute of Technology, Japan xvii MA-L2.5: A NONLOCAL MEANS BASED ADAPTIVE DENOISING FRAMEWORK FOR ..............454 MIXED IMAGE NOISE REMOVAL Lin Zhu, Huawei Technologies Co. Ltd, China MA-L2.6: SURE-OPTIMAL TWO-DIMENSIONAL SAVITZKY-GOLAY FILTERS FOR .................459 IMAGE DENOISING Sreeram V. Menon, Chandra Sekhar Seelamantula, Indian Institute of Science, India MA-L2.7: ANISOTROPICALLY FOVEATED NONLOCAL IMAGE DENOISING ..............................464 Alessandro Foi, Tampere University of Technology, Finland; Giacomo Boracchi, Politecnico di Milano, Italy MA-L3: INVERSE PROBLEMS AND COMPRESSIVE SENSING MA-L3.1: JOINT BLIND DEBLURRING AND DESTRIPING FOR REMOTE SENSING ..................469 IMAGES Yi Chang, Houzhang Fang, Luxin Yan, Hai Liu, HuaZhong University of Science and Technology, China MA-L3.2: OPTIMIZED JPEG IMAGE DECOMPRESSION WITH SUPER-RESOLUTION ..............474 INTERPOLATION USING MULTI-ORDER TOTAL VARIATION Shunsuke Ono, Isao Yamada, Tokyo Institute of Technology, Japan MA-L3.3: FAST VARIATIONAL BAYESIAN APPROACHES APPLIED TO LARGE ........................479 DIMENSIONAL PROBLEMS Yuling Zheng, Thomas Rodet, Aurelia Fraysse, University of Paris-Sud, France MA-L3.4: LOGARITHMIC TOTAL VARIATION REGULARIZATION FOR .....................................484 CROSS-VALIDATION IN PHOTON-LIMITED IMAGING Albert Oh, Duke University, United States; Zachary Harmany, University of Wisconsin-Madison, United States; Rebecca Willett, Duke University, United States MA-L3.5: SPARSE SEQUENCE RECOVERY VIA A MAXIMUM A POSTERIORI ............................489 ESTIMATION Md Mashud Hyder, Kaushik Mahata, The University of Newcastle, Australia MA-L3.6: KERNEL COMPRESSIVE SENSING ..........................................................................................494 Farhad Pourkamali Anaraki, Shannon M. Hughes, University of Colorado at Boulder, United States MA-L3.7: RESTRICTED BOLTZMANN MACHINE APPROACH TO COUPLE ................................499 DICTIONARY TRAINING FOR IMAGE SUPER-RESOLUTION Junbin Gao, Charles Sturt University, Australia; Yi Guo, Commonwealth Scientific and Industrial Research Organization (CSIRO) Mathematics, Informatics and Statistics, Australia; Ming Yin, Guangdong University of Technology, China MA-L4: CLASSIFICATION I MA-L4.1: HETEROGENEOUS FEATURE CODE FOR EXPRESSION RECOGNITION ..................2407 Gee-Sern Hsu, Shang-Min Yeh, National Taiwan University of Science and Technology, Taiwan MA-L4.2: RECOGNIZING ACTIONS VIA SPARSE CODING ON STRUCTURE .............................2412 PROJECTION Lei Zhang, Tao Wang, Harbin Engineering University, China; Xiantong Zhen, The University of Sheffield, United Kingdom xviii MA-L4.3: A UNIFIED FORMALISM FOR VIDEO DESCRIPTORS .....................................................2416 Olivier Kihl, David Picard, ETIS/ ENSEA - University of Cergy-Pontoise - CNRS - UMR 8051, France; Philippe-Henri Gosselin, TexMex Team, INRIA, Rennes-Bretagne-Atlantique Research Center, France MA-L4.4: HUMAN ACTION RECOGNITION USING ORIENTED HOLISTIC FEATURE ..............2420 Jia-Xin Cai, Guo-Can Feng, Xin Tang, Sun Yat-sen University, China MA-L4.5: FACE-GRAPH MATCHING FOR CLASSIFYING GROUPS OF PEOPLE ........................2425 Henry Shu, Andrew Gallagher, Cornell University, United States; Huizhong Chen, Stanford University, United States; Tsuhan Chen, Cornell University, United States MA-L4.6: SEGMENT-BASED IMAGE CLASSIFICATION USING LAYERED-SOM ........................2430 Andrea Kutics, International Christian University, Japan; Christian O’Connell, Unversity of Essex, United Kingdom; Akihiko Nakagawa, International Christian University, Japan MA-L4.7: CLASSIFICATION OF ENVIRONMENTAL MICROORGANISMS IN .............................2435 MICROSCOPIC IMAGES USING SHAPE FEATURES AND SUPPORT VECTOR MACHINES Chen Li, Kimiaki Shirahama, Marcin Grzegorzek, University of Siegen, Germany; Fangshu Ma, Beihai Zhou, University of Science and Technology Beijing, China MA-L5: VISUAL OBJECT TRACKING MA-L5.2: TROD: TRACKING WITH OCCLUSION HANDLING AND DRIFT .................................2440 CORRECTION Arash Pourtaherian, Eindhoven University of Technology, Netherlands; Rob G.J. Wijnhoven, ViNotion, Netherlands; Peter H.N. de With, Eindhoven University of Technology, Netherlands MA-L5.3: AN EFFICIENT OCCLUSION DETECTION METHOD TO IMPROVE ...........................2445 OBJECT TRACKERS Yingkun Xu, Lei Qin, Institute of Computing Technology, Chinese Academy of Sciences, China; Guorong Li, Qingming Huang, University of Chinese Academy of Sciences, China MA-L5.4: CONTEXT-AWARE REAL-TIME TRACKING IN SPARSE REPRESENTATION .........2450 FRAMEWORK Ashwini M. J., Venkatesh Babu Radhakrishnan, K. R. Ramakrishnan, Indian Institute of Science, India MA-L5.5: ROBUST AND EFFICIENT OBJECT TRACKING ALGORITHM UNDER ......................2455 ILLUMINATION CHANGES BASED ON JOINT GRADIENT-INTENSITY HISTOGRAM Fanxiang Zeng, Xuan Liu, Zhitong Huang, Yuefeng Ji, Beijing University of Posts and Telecommunications, China MA-L5.6: TRACKING ARTICULATED HUMAN MOVEMENTS WITH A COMPONENT ............2460 BASED APPROACH TO BOOSTED MULTIPLE INSTANCE LEARNING Kyuseo Han, Johnny Park, Avinash C. Kak, Purdue University, United States xix MA-L6: SCENE ANALYSIS I MA-L6.1: VIDEO SALIENCY DETECTION BASED ON RANDOM WALK WITH ..........................2465 RESTART Jun-Seong Kim, Hansang Kim, Korea University, Republic of Korea; Jae-Young Sim, Ulsan National Institute of Science and Technology, Republic of Korea; Chang-Su Kim, Korea University, Republic of Korea; Sang-Uk Lee, Seoul National University, Republic of Korea MA-L6.2: SALIENT REGION DETECTION VIA TEXTURE-SUPPRESSED .....................................2470 BACKGROUND CONTRAST Jiamei Shuai, Laiyun Qing, University of Chinese Academy of Sciences, China; Jun Miao, Zhiguo Ma, Xilin Chen, Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, China MA-L6.3: OBJECT-LEVEL SALIENCY DETECTION BASED ON SPATIAL ...................................2475 COMPACTNESS ASSUMPTION Chi Zhang, Weiqiang Wang, University of Chinese Academy of Sciences, China MA-L6.4: KNN-BASED COLOR LINE MODEL FOR IMAGE MATTING ..........................................2480 Meiguang Jin, Byoung-Kwang Kim, Woo-Jin Song, Pohang University of Science and Technology, Republic of Korea MA-L6.5: FOREGROUND AND BACKGROUND RECONSTRUCTION IN POISSON ....................2484 VIDEO Eric Hall, Rebecca Willett, Duke University, United States MA-L6.6: QUANTUM MECHANICS IN COMPUTER VISION: AUTOMATIC OBJECT ................2489 EXTRACTION Caglar Aytekin, Middle East Technical University, Turkey; Serkan Kiranyaz, Moncef Gabbouj, Tampere University of Technology, Finland MA-L6.7: LEARNING BINARIZED PIXEL-DIFFERENCE PATTERN FOR SCENE .......................2494 RECOGNITION Jianfeng Ren, Xudong Jiang, Junsong Yuan, Nanyang Technological University, Singapore MA-L7: STEGANOGRAPHY, WATERMARKING, AND SECURITY APPLICATIONS MA-L7.1: VIDEO
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