WhatToSee

Index of ICCV 2005 (vol 1)

• 3D Object Reconstruction from a Single 2D Line Drawing without Hidden Lines
• 8-Point Algorithm Revisited: Factorized 8-Point Algorithm F. C. Wu, Z. Y. Hu, and F. Q. Duan National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, P. O. Box 2728, Beijing, P.R.China 100080 {fcwu, huzy, fqduan}@nlpr.ia.ac.cn
• A Bayesian Approach for Shadow Extraction from a Single Image Tai-Pang Wu and Chi-Keung Tang Vision and Graphics Group The Hong Kong University of Science and Technology Clear Water Bay, Hong Kong
• A Maximum Entropy Framework for Part-Based Texture and Object Recognition
• A Multi-Scale Hybrid Linear Model for Lossy Image Representation
• A Multilevel Banded Graph Cuts Method for Fast Image Segmentation Herve Lombaert Yiyong Sun Leo Grady Chenyang Xu Department of Imaging and Visualization Siemens Corporate Research 755 College Road East, Princeton, NJ 08540, USA
• A Practical Single Image Based Approach for Estimating Illumination Distribution from Shadows Taeone Kim and Ki-Sang Hong Department of Electronic and Electrical Engineering, POSTECH San 31, Hyojadong, Namgu, Pohang, 790-784, Republic of Korea {kimm, hongks}@postech.ac.kr
• A Probabilistic Semantic Model for Image Annotation and Multi-Modal Image Retrieval Ruofei Zhang1, Zhongfei (Mark) Zhang1, Mingjing Li2, Wei-Ying Ma2, Hong-Jiang Zhang2
• A Semi-supervised Framework for Mapping Data to the Intrinsic Manifold Haifeng GONG, Chunhong PAN, Qing YANG, Hanqing LU, Songde MA National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, China {hfgong, chpan, qyang, luhq, masd}@nlpr.ia.ac.cn
• A Theoretical Limit on the Number of Effective Pixels that can be Optically Resolved on a Non-planar Subject Robert Boman Evolution Robotics 130 West Union Street, Pasadena, California 91103 robert@evolution.com
• A Unifying Approach to Hard and Probabilistic Clustering Ron Zass and Amnon Shashua School of Engineering and Computer Science, The Hebrew University, Jerusalem 91904, Israel
• A stochastic filter for fluid motion tracking
• Active Search for Real-Time Vision Andrew J. Davison Department of Computing, Imperial College London, 180 Queen's Gate, SW7 2AZ, London, UK ajd@doc.ic.ac.uk http://www.doc.ic.ac.uk/~ajd/
• An Algebraic Approach to Surface Reconstruction from Gradient Fields
• An Enhanced Correlation-Based Method for Stereo Correspondence with Sub-Pixel Accuracy Emmanouil Z. Psarakis and Georgios D. Evangelidis Department of Computer Engineering and Informatics University of Patras, 26500 Patras, Greece
• An Ensemble Prior of Image Structure for Cross-modal Inference
• An Expectation Maximization Approach to the Synergy Between Image Segmentation and Object Categorization Iasonas Kokkinos and Petros Maragos Computer Vision, Signal Processing and Speech Communication Group School of Electrical and Computer Engineering National Technical University of Athens, Greece
• An Integrated Framework For Image Segmentation and Perceptual Grouping Zhuowen Tu Integrated Data Systems Department Siemens Corporate Research, Princeton, NJ 08540
• Avoiding the "Streetlight Effect": Tracking by Exploring Likelihood Modes David Demirdjian, Leonid Taycher, Gregory Shakhnarovich, Kristen Grauman, and Trevor Darrell Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge, MA, 02139
• BRDF Invariant Stereo using Light Transport Constancy
• Basic Gray Level Aura Matrices: Theory and its Application to Texture Synthesis Xuejie Qin Yee-Hong Yang Department of Computing Science, University of Alberta {xuq, yang}@cs.ualberta.ca
• Bayesian Body Localization Using Mixture of Nonlinear Shape Models Jiayong Zhang1, Robert Collins2 and Yanxi Liu1
• Behaviour understanding in video: a combined method
• Beyond Trees: Common-Factor Models for 2D Human Pose Recovery Xiangyang Lan Daniel P. Huttenlocher Department of Computer Science, Cornell University {xylan,dph}@cs.cornell.edu
• Bi-directional Tracking using Trajectory Segment Analysis Jian Sun Weiwei Zhang Xiaoou Tang Heung-Yeung Shum Microsoft Research Asia, Beijing, P. R. China {jiansun, weiweiz, xitang, and hshum}@microsoft.com
• Building a Classification Cascade for Visual Identification from One Example
• Closely Coupled Object Detection and Segmentation Liang Zhao and Larry S. Davis UMIACS University of Maryland College Park, MD 20742 Abstract
• Combining Generative Models and Fisher Kernels for Object Recognition Alex D. Holub1, Max Welling2, Pietro Perona1
• Combining Image Regions and Human Activity for Indirect Object Recognition in Indoor Wide-Angle Views Patrick Peursum Geoff West Svetha Venkatesh Dept of Computing, Curtin University of Technology GPO Box U1987, Perth, Western Australia {peursump, svetha, geoff}@cs.curtin.edu.au
• Conformal Metrics and True "Gradient Flows" for Curves
• Contour-Based Learning for Object Detection
• Creating Efficient Codebooks for Visual Recognition
• Degenerate Cases and Closed-form Solutions for Camera Calibration with One-Dimensional Objects P Hammarstedt, Peter Sturm, Anders Heyden Applied Mathematics Group, School of Technology and Society Malmo University, 20506 Malmo, Sweden par.hammarstedt@ts.mah.se, heyden@ts.mah.se MOVI group, INRIA Rhône-Alpes 38330 Montbonnot St Martin, France peter.sturm@inrialpes.fr
• Detecting Irregularities in Images and in Video Oren Boiman Michal Irani Dept. of Computer Science and Applied Math The Weizmann Institute of Science 76100 Rehovot, Israel
• Detection and Tracking of Moving Objects from a Moving Platform in Presence of Strong Parallax Jinman Kang, Isaac Cohen, Gerard´ Medioni, Chang Yuan Institute of Robotics and Intelligent Systems University of Southern California, CA 90089, USA {jinmanka, icohen, medioni, cyuan}@usc.edu
• Detection of Concentric Circles for Camera Calibration Guang JIANG Long QUAN The Department of Computer Science The Hong Kong University of Science and Technology {gjiang,quan}@cs.ust.hk
• Detection of Multiple, Partially Occluded Humans in a Single Image by Bayesian Combination of Edgelet Part Detectors Bo Wu Ram Nevatia University of Southern California Institute for Robotics and Intelligent System Los Angeles, CA 90089-0273 {bowu|nevatia}@usc.edu
• Detection, Analysis and Matching of Hair Yaser Yacoob and Larry Davis Computer Vision Laboratory University of Maryland College Park, MD 20742
• Discontinuity Preserving Stereo with Small Baseline Multi-Flash Illumination
• Discovering objects and their location in images Bryan C. Russell2 Alexei A. Efros3 Andrew Zisserman1 William T. Freeman2
• Efficient Block Noise Removal Based on Nonlinear Manifolds Haoying Fu, Hongyuan Zha, Jesse Barlow The Pennsylvania State University Department of Computer Science and Engineering University Park, PA 16802 hfu,zha,barlow@cse.psu.edu
• Efficient Visual Event Detection using Volumetric Features
• Efficient model-based 3D tracking of deformable objects
• Evaluation of Features Detectors and Descriptors based on 3D objects Pierre Moreels and Pietro Perona California Institute of Technology, Pasadena CA91125, USA Abstract
• Exploring the Space of a Human Action Yaser Sheikh Mumtaz Sheikh Mubarak Shah Computer Vision Laboratory, School of Computer Science, University of Central Florida, Orlando, FL 32826
• Fast Multiple Object Tracking via a Hierarchical Particle Filter Changjiang Yang, Ramani Duraiswami and Larry Davis Department of Computer Science, Perceptual Interfaces and Reality Laboratory University of Maryland, College Park, MD 20742, USA {yangcj,ramani,lsd}@umiacs.umd.edu
• Fast Recognition of Multi-view Faces with Feature Selection Zhi-Gang Fan and Bao-Liang Lu Departmart of Computer Science and Engineering Shanghai Jiao Tong University, Shanghai 200030, China {zgfan, blu}@cs.sjtu.edu.cn
• Feature Hierarchies for Object Classification
• Fixed Point Probability Field for Complex Occlusion Handling Franc¸ois Fleuret Richard Lengagne Pascal Fua
• Fundamental Matrix for Cameras with Radial Distortion
• Geometric Context from a Single Image
• Globally optimal solutions for energy minimization in stereo vision using reweighted belief propagation
• High Resolution Tracking of Non-Rigid 3D Motion of Densely Sampled Data Using Harmonic Maps Yang Wang1, Mohit Gupta1, Song Zhang2, Sen Wang1, Xianfeng Gu1, Dimitris Samaras1, Peisen Huang2
• Hilbert Functions and Applications to the Estimation of Subspace Arrangements
• How Hard is 3-view Triangulation Really?
• Image Based Regression Using Boosting Method Shaohua Kevin Zhou, Bogdan Georgescu, Xiang Sean Zhou, and Dorin Comaniciu Siemens Corporate Research, Integrated Data Systems Department 755 College Road East, Princeton, NJ 08540 {shaohua.zhou, bogdan.georgescu, xiang.zhou, dorin.comaniciu}@siemens.com Abstract
• Image Statistics based on Diffeomorphic Matching
• Improved Sub-pixel Stereo Correspondences through Symmetric Refinement Diego Nehab1 Szymon Rusinkiewicz1 James Davis2
• Incorporating visual knowledge representation in stereo reconstruction Adrian Barbu and Song-Chun Zhu University of California, Los Angeles Departments of Computer Science and Statistics abarbu@ucla.edu, sczhu@stat.ucla.edu
• Integrated Spatial and Frequency Domain 2D Motion Segmentation and Estimation Alexia Briassouli, Narendra Ahuja Beckman Institute Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana, IL 61801, USA { briassou, ahuja }@vision.ai.uiuc.edu
• Is ICA Significantly Better than PCA for Face Recognition?
• KALMANSAC: Robust Filtering by Consensus
• Kernel-Based Multifactor Analysis for Image Synthesis and Recognition
• LOCUS: Learning Object Classes with Unsupervised Segmentation J. Winn N. Jojic
• Learning Layered Motion Segmentations of Video
• Learning a Sparse, Corner-based Representation for Time-varying Background Modelling Qiang Zhu1, Shai Avidan2, Kwang-Ting Cheng1
• Linear Approaches to Camera Calibration from Sphere Images or Active Intrinsic Calibration using Vanishing Points Xianghua Ying and Hongbin Zha National Laboratory on Machine Perception Peking University, Beijing, 100871 P.R.China {xhying, zha}@cis.pku.edu.cn
• Local Gabor Binary Pattern Histogram Sequence (LGBPHS): A Novel Non-Statistical Model for Face Representation and Recognition Wenchao Zhang1, Shiguang Shan2, Wen Gao1,2, Xilin Chen1,2, Hongming Zhang1
• Manifold Clustering Richard Souvenir and Robert Pless Washington University in St. Louis Department of Computer Science and Engineering Campus Box 1045, One Brookings Drive, St. Louis, MO 63130 {rms2, pless}@cse.wustl.edu
• Mixtures of Dynamic Textures Antoni B. Chan and Nuno Vasconcelos Department of Electrical and Computer Engineering University of California, San Diego abchan@ucsd.edu, nuno@ece.ucsd.edu
• Modeling Scenes with Local Descriptors and Latent Aspects P. Quelhas , F. Monay , J.-M. Odobez , D. Gatica-Perez , T. Tuytelaars , and L. Van Gool IDIAP Research Institute, Martigny, Switzerland Katholieke Universiteit, Leuven, Belgium quelhas, monay, odobez, gatica @idiap.ch, tinne.tuytelaars, luc.vangool @esat.kuleuven.ac.be
• Multi-View AAM Fitting and Camera Calibration Seth Koterba, Simon Baker, Iain Matthews, Changbo Hu, Jing Xiao, Jeffrey Cohn, and Takeo Kanade The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213 {skoterba, simonb, iainm, changbo, jxiao, jeffcohn, tk}@cs.cmu.edu
• Multi-scale Gesture Recognition from Time-Varying Contours Hong Li1 Michael Greenspan1 Dept. of Electrical & Computer Engineering, Queen's University, Kingston, Canada
• Multi-view Reconstruction using Photo-consistency and Exact Silhouette Constraints: A Maximum-Flow Formulation Sudipta N. Sinha Marc Pollefeys Department of Computer Science, University of North Carolina at Chapel Hill, USA.
• Multi-view Surface Reconstruction using Polarization Gary A. Atkinson and Edwin R. Hancock Department of Computer Science University of York Heslington, York YO10 5DD, UK {atkinson,erh}@cs.york.ac.uk
• Multiperspective Projection and Collineation
• Mutual Information Regularized Bayesian Framework for Multiple Image Restoration Yunqiang Chen, Hongcheng Wang, Tong Fang and Jason Tyan Siemens Corporate Research, 755 College Rd. East, Princeton, NJ 08540
• Mutual Information-based 3D Surface Matching with Applications to Face Recognition and Brain Mapping
• Non-Parametric Self-Calibration David Nister , Henrik Stewenius , Etienne Grossmann ´ ´ Department of Computer Science Center for Visualization and Virtual Environments University of Kentucky, Lexington, USA
• Non-orthogonal Binary Subspace and its Applications in Computer Vision Hai Tao, Ryan Crabb and Feng Tang Department of Computer Engineering, University of California, Santa Cruz {tao,rcrabb,tang}@soe.ucsc.edu
• On Optimizing Template Matching via Performance Characterization
• On the Spatial Statistics of Optical Flow Stefan Roth Michael J. Black Department of Computer Science, Brown University, Providence, RI, USA {roth,black}@cs.brown.edu
• Opaque Document Imaging: Building Images of Inaccessible Texts
• Patch Based Blind Image Super Resolution Qiang Wang, Xiaoou Tang, Harry Shum Microsoft Research Asia, Beijing 100080, P.R. China {qiangwa,xitang,hshum@microsoft.com}
• Perceptual Scale Space and its Applications Yizhou Wang1 Siavosh Bahrami1 Song-Chun Zhu1 Department of Computer Science1 and Statistics2 University of California, Los Angeles {wangyz, siavosh, sczhu}@cs.ucla.edu
• Periodic Motion Detection and Segmentationvia Approximate SequenceAlignment Ivan Laptevt, SergeJ. BelongieS,Patrick Perez+and Josh Wills$
• Photometric Stereo under Perspective Projection
• Prior-basedSegmentationbyProjectiveRegistrationandLevelSets
• Priors for People Tracking from Small Training Sets
• Probabilistic Contour Extraction Using Hierarchical Shape Representation
• Real-Time Interactively Distributed Multi-Object Tracking Using a Magnetic-Inertia Potential Model
• Realtime IBR with Omnidirectional Crossed-Slits Projection Doron Feldman Daphna Weinshall School of Computer Science and Engineering The Hebrew University of Jerusalem 91904 Jerusalem, Israel
• Recognizing Human Actions in Videos Acquired by Uncalibrated Moving Cameras
• Recovering Facial Shape and Albedo using a Statistical Model of Surface Normal Direction William A.P. Smith and Edwin R. Hancock Department of Computer Science, The University of York {wsmith, erh}@cs.york.ac.uk
• Recovering Human Body Configurations using Pairwise Constraints between Parts Xiaofeng Ren, Alexander C. Berg, Jitendra Malik Computer Science Division University of California, Berkeley, CA 94720
• Registration of Multimodal Fluorescein Images Sequence of the Retina Tae Eun Choe, Isaac Cohen Institute for Robotics and Intelligent Systems University of Southern California tchoe@usc.edu, icohen@usc.edu
• Regular polygon detection Nick Barnes1, Gareth Loy2, David Shaw1 and Antonio Robles-Kelly1 1. National ICT Australia, Locked Bag 8001, Canberra, ACT, 2601, Australia, 1. Dept. Information Engineering, The Australian National University. 2. Computer Vision & Active Perception Laboratory, Royal Institute of Technology (KTH), Stockholm
• Robust Path-Based Spectral Clustering with Application to Image Segmentation Hong Chang & Dit-Yan Yeung Hong Kong University of Science and Technology Clear Water Bay, Kowloon, Hong Kong {hongch,dyyeung}@cs.ust.hk
• Robust Structure from Motion and Identified Dynamics
• Segmentation of Hybrid Motions via Hybrid Quadratic Surface Analysis
• Separating Transparent Layers of Repetitive Dynamic Behaviors Bernard Sarel Michal Irani Dept. of Computer Science and Applied Math. The Weizmann Institute of Science 76100 Rehovot, Israel
• Shadow Flow: A Recursive Method to Learn Moving Cast Shadows
• Shape Classifier based on Generalized Probabilistic Descent Method with Hidden Markov Descriptor
• Shape Parameter Optimization for AdaBoosted Active Shape Model Yuanzhong Li and Wataru Ito Imaging Software Technology Center FUJI PHOTO FILM CO., LTD.
• Shape Recovery of 3D Data Obtained from a Moving Range Sensor by using Image Sequences Atsuhiko Banno and Katsushi Ikeuchi Institute of Industrial Science, The University of Tokyo, Japan {vanno, ki}@cvl.iis.u-tokyo.ac.jp
• Shape and Spatially-Varying BRDFs From Photometric Stereo Dan B Goldman1 Brian Curless1 Aaron Hertzmann2 Steven M. Seitz1
• Simultaneous Multiple 3D Motion Estimation via Mode Finding on Lie Groups Oncel Tuzel Raghav Subbarao Peter Meer Rutgers University, Piscataway, NJ 08854 {otuzel, rsubbara, meer}@caip.rutgers.edu
• Space-Time Scene Manifolds Y. Wexler D. Simakov Dept. of Computer Science and Applied Math The Weizmann Institute of Science Rehovot, 76100 Israel
• Sparse Image Coding using a 3D Non-negative Tensor Factorization Tamir Hazan Simon Polak Amnon Shashua School of Engineering and Computer Science, The Hebrew University, Jerusalem 91904, Israel
• Structured Light in Scattering Media
• TemporalBoost for Event Recognition Paul Smith, Niels da Vitoria Lobo, and Mubarak Shah Computer Vision Lab, School of Computer Science, University of Central Florida {rsmith,niels,shah}@cs.ucf.edu
• Towards Ultimate Motion Estimation: Combining Highest Accuracy with Real-Time Performance Andres´ Bruhn and Joachim Weickert Mathematical Image Analysis Group Faculty of Mathematics and Computer Science Saarland University, 66041 Saarbruck¨ en, Germany {bruhn,weickert}@mia.uni-saarland.de
• Using Extended Light Sources for Modeling Object Appearance under Varying Illumination
• Using Eye Reflections for Face Recognition Under Varying Illumination Ko Nishino Peter N. Belhumeur Shree K. Nayar
• Using Frontier Points to Recover Shape, Reflectance and Illumination George Vogiatzis Paolo Favaro Roberto Cipolla
• Vehicle Identification between Non-Overlapping Cameras without Direct Feature Matching Ying Shan Harpreet S. Sawhney Rakesh Kumar Vision Technologies Laboratory Sarnoff Corporation 201 Washington Road, Princeton, NJ 08540 {yshan, hsawhney, rkumar}@sarnoff.com
• Vignette and Exposure Calibration and Compensation Dan B Goldman and Jiun-Hung Chen University of Washington
• Visual Learning Given Sparse Data of Unknown Complexity Tao Xiang and Shaogang Gong Department of Computer Science Queen Mary, University of London, London E1 4NS, UK {txiang,sgg}@dcs.qmul.ac.uk
• What metrics can be approximated by geo-cuts, or global optimization of length/area and flux