10. ACCV 2010: Queenstown, New Zealand

Posters on Day 2 of ACCV 2010

• Timo Tossavainen:
  Approximate and SQP Two View Triangulation. 1-14
  
• Luca Zappella, Edoardo Provenzi, Xavier Lladó, Joaquim Salvi:
  Adaptive Motion Segmentation Algorithm Based on the Principal Angles Configuration. 15-26
  
• Baojun Qi, Tao Wu, Hangen He, Tingbo Hu:
  Real-Time Detection of Small Surface Objects Using Weather Effects. 27-38
  
• Baidya Nath Saha, Nilanjan Ray, Hong Zhang:
  Automating Snakes for Multiple Objects Detection. 39-51
  
• Florent Brunet, Richard I. Hartley, Adrien Bartoli, Nassir Navab, Rémy Malgouyres:
  Monocular Template-Based Reconstruction of Smooth and Inextensible Surfaces. 52-66
  
• Paolo Piro, Richard Nock, Frank Nielsen, Michel Barlaud:
  Multi-class Leveraged κ-NN for Image Classification. 67-81
  
• Gayathri Mahalingam, Chandra Kambhamettu:
  Video Based Face Recognition Using Graph Matching. 82-94
  
• Alexander Binder, Wojciech Wojcikiewicz, Christina Müller, Motoaki Kawanabe:
  A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition. 95-108
  
• Takashi Shibata, Akihiko Iketani, Shuji Senda:
  Image Inpainting Based on Probabilistic Structure Estimation. 109-120
  
• Qi Zheng, Kai Chen, Yi Zhou, Congcong Gu, Haibing Guan:
  Text Localization and Recognition in Complex Scenes Using Local Features. 121-132
  
• Yonggang He, Nong Sang, Changxin Gao:
  Pyramid-Based Multi-structure Local Binary Pattern for Texture Classification. 133-144
  
• Jie Xu, Yang Wang, Wei Wang, Jun Yang, Zhidong Li:
  Unsupervised Moving Object Detection with On-line Generalized Hough Transform. 145-156
  
• Antony Lam, Amit K. Roy Chowdhury, Christian R. Shelton:
  Interactive Event Search through Transfer Learning. 157-170
  
• Nan Wang, Haizhou Ai, Shihong Lao:
  A Compositional Exemplar-Based Model for Hair Segmentation. 171-184
  
• Yimo Guo, Guoying Zhao, Matti Pietikäinen, Zhengguang Xu:
  Descriptor Learning Based on Fisher Separation Criterion for Texture Classification. 185-198
  
• Maryam Mehdizadeh, Cara MacNish, R. Nazim Khan, Mohammed Bennamoun:
  Semi-supervised Neighborhood Preserving Discriminant Embedding: A Semi-supervised Subspace Learning Algorithm. 199-212
  
• Mingyang Jiang, Chunxiao Li, Jufu Feng, Liwei Wang:
  Segmentation via NCuts and Lossy Minimum Description Length: A Unified Approach. 213-224
  
• Bolei Zhou, Xiaodi Hou, Liqing Zhang:
  A Phase Discrepancy Analysis of Object Motion. 225-238
  
• Chunjie Zhang, Jing Liu, Jinqiao Wang, Qi Tian, Changsheng Xu, Hanqing Lu, Songde Ma:
  Image Classification Using Spatial Pyramid Coding and Visual Word Reweighting. 239-249
  
• Bisser Raytchev, Yuta Kikutsugi, Toru Tamaki, Kazufumi Kaneda:
  Class-Specific Low-Dimensional Representation of Local Features for Viewpoint Invariant Object Recognition. 250-261
  
• Fei Yin, Dimitrios Makris, James Orwell, Sergio A. Velastin:
  Learning Non-coplanar Scene Models by Exploring the Height Variation of Tracked Objects. 262-275
  
• Michael De Smet, Luc J. Van Gool:
  Optimal Regions for Linear Model-Based 3D Face Reconstruction. 276-289
  
• Masayuki Tanaka, Masatoshi Okutomi:
  Color Kernel Regression for Robust Direct Upsampling from Raw Data of General Color Filter Array. 290-301
  
• Hang Su, Hua Yang, Shibao Zheng:
  The Large-Scale Crowd Density Estimation Based on Effective Region Feature Extraction Method. 302-313
  
• Zhengdong Zhang, Xiao Liang, Arvind Ganesh, Yi Ma:
  TILT: Transform Invariant Low-Rank Textures. 314-328
  
• Minwoo Park, Kyle Brocklehurst, Robert T. Collins, Yanxi Liu:
  Translation-Symmetry-Based Perceptual Grouping with Applications to Urban Scenes. 329-342
  
• Mingyang Jiang, Chunxiao Li, Jufu Feng, Liwei Wang:
  Towards Hypothesis Testing and Lossy Minimum Description Length: A Unified Segmentation Framework. 343-354
  
• Youngjin Park, Suk I. Yoo:
  A Convex Image Segmentation: Extending Graph Cuts and Closed-Form Matting. 355-368
  
• Alessandro Rudi, Matia Pizzoli, Fiora Pirri:
  Linear Solvability in the Viewing Graph. 369-381
  
• Quan Zhou, Wenyu Liu:
  Inference Scene Labeling by Incorporating Object Detection with Explicit Shape Model. 382-395
  
• Ye Luo, Junsong Yuan, Ping Xue, Qi Tian:
  Saliency Density Maximization for Object Detection and Localization. 396-408
  
• Xióngbiao Luó, Tobias Reichl, Marco Feuerstein, Takayuki Kitasaka, Kensaku Mori:
  Modified Hybrid Bronchoscope Tracking Based on Sequential Monte Carlo Sampler: Dynamic Phantom Validation. 409-421
  
• Arnaud Declercq, Justus H. Piater:
  Affine Warp Propagation for Fast Simultaneous Modelling and Tracking of Articulated Objects. 422-435
  
• Zhuoli Zhou, Mingli Song, Luming Zhang, Dacheng Tao, Jiajun Bu, Chun Chen:
  kPose: A New Representation For Action Recognition. 436-447
  
• Avishai Hendel, Daphna Weinshall, Shmuel Peleg:
  Identifying Surprising Events in Videos Using Bayesian Topic Models. 448-459
  
• Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang:
  Face Detection with Effective Feature Extraction. 460-470
  
• Aiping Wang, Sikun Li, Liang Zeng:
  Multiple Order Graph Matching. 471-482
  
• Gowri Somanath, Chandra Kambhamettu:
  Abstraction and Generalization of 3D Structure for Recognition in Large Intra-Class Variation. 483-496
  
• Chih-Yuan Yang, Jia-Bin Huang, Ming-Hsuan Yang:
  Exploiting Self-similarities for Single Frame Super-Resolution. 497-510
  
• Huchuan Lu, Wenling Zhang, Yen-Wei Chen:
  On Feature Combination and Multiple Kernel Learning for Object Tracking. 511-522
  
• Satoshi Kawabata, Yoshihiro Kawai:
  Correspondence-Free Multi Camera Calibration by Observing a Simple Reference Plane. 523-534
  
• Te-Feng Su, Yi-Ling Chen, Shang-Hong Lai:
  Over-Segmentation Based Background Modeling and Foreground Detection with Shadow Removal by Using Hierarchical MRFs. 535-546
  
• Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian C. Lovell:
  MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos. 547-559
  
• LingFeng Wang, Huai-Yu Wu, Chunhong Pan:
  Adaptive εLBP for Background Subtraction. 560-571
  
• Renaud Detry, Justus H. Piater:
  Continuous Surface-Point Distributions for 3D Object Pose Estimation and Recognition. 572-585
  
• Ke Jia, Lei Wang, Nianjun Liu:
  Efficient Structured Support Vector Regression. 586-598
  
• Yann Savoye, Jean-Sébastien Franco:
  Cage-Based Tracking for Performance Animation. 599-612
  
• Aparna Taneja, Luca Ballan, Marc Pollefeys:
  Modeling Dynamic Scenes Recorded with Freely Moving Cameras. 613-626
  
• M. V. Rohith, Chandra Kambhamettu:
  Learning Image Structures for Optimizing Disparity Estimation. 627-640
  
• Sanzo Ugawa, Takeo Azuma, Taro Imagawa, Yusuke Okada:
  Image Reconstruction for High-Sensitivity Imaging by Using Combined Long/Short Exposure Type Single-Chip Image Sensor. 641-652
  
• Samuele Salti, Federico Tombari, Luigi di Stefano:
  On the Use of Implicit Shape Models for Recognition of Object Categories in 3D Data. 653-666
  
• Yasushi Makihara, Trung Ngo Thanh, Hajime Nagahara, Ryusuke Sagawa, Yasuhiro Mukaigawa, Yasushi Yagi:
  Phase Registration of a Single Quasi-Periodic Signal Using Self Dynamic Time Warping. 667-678
  
• Yan Tian, Leonid Sigal, Hernán Badino, Fernando De la Torre, Yong Liu:
  Latent Gaussian Mixture Regression for Human Pose Estimation. 679-690
  
• Li Li, Chunfeng Yuan, Weiming Hu, Bing Li:
  Top-Down Cues for Event Recognition. 691-702
  
• Lun Wu, Arvind Ganesh, Boxin Shi, Yasuyuki Matsushita, Yongtian Wang, Yi Ma:
  Robust Photometric Stereo via Low-Rank Matrix Completion and Recovery. 703-717
  
• Du Yong Kim, Ehwa Yang, Moongu Jeon, Vladimir Shin:
  Robust Auxiliary Particle Filter with an Adaptive Appearance Model for Visual Tracking. 718-731
  
• Viswanath Gopalakrishnan, Yiqun Hu, Deepu Rajan:
  Sustained Observability for Salient Motion Detection. 732-743
  
• Iasonas Oikonomidis, Nikolaos Kyriazis, Antonis A. Argyros:
  Markerless and Efficient 26-DOF Hand Pose Recovery. 744-757
  
• Søren Hauberg, Kim Steenstrup Pedersen:
  Stick It! Articulated Tracking Using Spatial Rigid Object Priors. 758-769
  
• Lukas Neumann, Jiri Matas:
  A Method for Text Localization and Recognition in Real-World Images. 770-783
  

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