Computer Vision -- ACCV 2009 : 9th Asian Conference on Computer Vision, Xi'an, China, September 23-27, 2009, Revised Selected Papers, Part I
معرفی کتاب «Computer Vision -- ACCV 2009 : 9th Asian Conference on Computer Vision, Xi'an, China, September 23-27, 2009, Revised Selected Papers, Part I» نوشتهٔ Pierre Gurdjos, Vincent Charvillat, Géraldine Morin, Jérôme Guénard (auth.), Hongbin Zha, Rin-ichiro Taniguchi, Stephen Maybank (eds.)، منتشرشده توسط نشر Springer-Verlag Berlin Heidelberg. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
It gives us greatpleasureto presentthe proceedings of the 9th Asian Conference on Computer Vision (ACCV 2009), held in Xi’an, China, in September 2009. This was the ?rst ACCV conference to take place in mainland China. We received a total of 670 full submissions, which is a new record in the ACCV series. Overall, 35 papers were selected for oral presentation and 131 as posters, yielding acceptance rates of 5.2% for oral, 19.6% for poster, and 24.8% in total. In the paper reviewing, we continued the tradition of previous ACCVsbyconductingthe processinadouble-blindmanner.Eachofthe33Area Chairs received a pool of about 20 papers and nominated a number of potential reviewers for each paper. Then, Program Committee Chairs allocated at least three reviewers to each paper, taking into consideration any con?icts of interest and the balance of loads. Once the reviews were ?nished, the Area Chairs made summaryreportsforthepapersintheirpools,basedonthereviewers’comments and on their own assessments of the papers. Front Matter....Pages - Multiple View Reconstruction of a Quadric of Revolution from Its Occluding Contours....Pages 1-12 Robust Focal Length Estimation by Voting in Multi-view Scene Reconstruction....Pages 13-24 Support Aggregation via Non-linear Diffusion with Disparity-Dependent Support-Weights for Stereo Matching....Pages 25-36 Manifold Estimation in View-Based Feature Space for Face Synthesis across Poses....Pages 37-47 Estimating Human Pose from Occluded Images....Pages 48-60 Head Pose Estimation Based on Manifold Embedding and Distance Metric Learning....Pages 61-70 3D Reconstruction of Human Motion and Skeleton from Uncalibrated Monocular Video....Pages 71-82 Mean-Shift Object Tracking with a Novel Back-Projection Calculation Method....Pages 83-92 A Shape Derivative Based Approach for Crowd Flow Segmentation....Pages 93-102 Learning Group Activity in Soccer Videos from Local Motion....Pages 103-112 Combining Discriminative and Descriptive Models for Tracking....Pages 113-122 From Ramp Discontinuities to Segmentation Tree....Pages 123-134 Natural Image Segmentation with Adaptive Texture and Boundary Encoding....Pages 135-146 Gradient Vector Flow over Manifold for Active Contours....Pages 147-156 3D Motion Segmentation Using Intensity Trajectory....Pages 157-168 Vehicle Headlights Detection Using Markov Random Fields....Pages 169-179 A Novel Visual Organization Based on Topological Perception....Pages 180-189 Multilevel Algebraic Invariants Extraction by Incremental Fitting Scheme....Pages 190-200 Towards Robust Object Detection: Integrated Background Modeling Based on Spatio-temporal Features....Pages 201-212 Image Enhancement of Low-Light Scenes with Near-Infrared Flash Images....Pages 213-223 A Novel Hierarchical Model of Attention: Maximizing Information Acquisition....Pages 224-233 Interactive Shadow Removal from a Single Image Using Hierarchical Graph Cut....Pages 234-245 Visual Saliency Based on Conditional Entropy....Pages 246-257 Evolving Mean Shift with Adaptive Bandwidth: A Fast and Noise Robust Approach....Pages 258-268 An Online Framework for Learning Novel Concepts over Multiple Cues....Pages 269-280 Efficient Partial Shape Matching of Outer Contours....Pages 281-292 Level Set Segmentation Based on Local Gaussian Distribution Fitting....Pages 293-302 Categorization of Multiple Objects in a Scene without Semantic Segmentation....Pages 303-312 Distance-Based Multiple Paths Quantization of Vocabulary Tree for Object and Scene Retrieval....Pages 313-322 Image-Set Based Face Recognition Using Boosted Global and Local Principal Angles....Pages 323-332 Incorporating Spatial Correlogram into Bag-of-Features Model for Scene Categorization....Pages 333-342 Human Action Recognition under Log-Euclidean Riemannian Metric....Pages 343-353 Clustering-Based Descriptors for Fingerprint Indexing and Fast Retrieval....Pages 354-363 Temporal-Spatial Local Gaussian Process Experts for Human Pose Estimation....Pages 364-373 Finger-Vein Recognition Based on a Bank of Gabor Filters....Pages 374-383 Back Matter....Pages - It gives us greatpleasureto presentthe proceedings of the 9th Asian Conference on Computer Vision (ACCV 2009), held in Xi'an, China, in September 2009. This was the?rst ACCV conference to take place in mainland China. We received a total of 670 full submissions, which is a new record in the ACCV series. Overall, 35 papers were selected for oral presentation and 131 as posters, yielding acceptance rates of 5.2% for oral, 19.6% for poster, and 24.8% in total. In the paper reviewing, we continued the tradition of previous ACCVsbyconductingthe processinadouble-blindmanner. Eachofthe33Area Chairs received a pool of about 20 papers and nominated a number of potential reviewers for each paper. Then, Program Committee Chairs allocated at least three reviewers to each paper, taking into consideration any con?icts of interest and the balance of loads. Once the reviews were?nished, the Area Chairs made summaryreportsforthepapersintheirpools, basedonthereviewers'comments and on their own assessments of the papers The three volume set LNCS 5994, LNCS 5995, and LNCS 5996 constitutes the thoroughly refereed post-conference proceedings of the 9th Asian Conference on Computer Vision, ACCV 2009, held in Xi'an, China, in September 2009. The 35 revised full papers and 130 revised poster papers of the three volumes were carefully reviewed and seleceted from 670 submissions. The papers are organized in topical sections on multiple view and stereo, face and pose analysis, motion analysis and tracking, segmentation, feature extraction and object detection, image enhancement and visual attention, machine learning algorithms for vision, object categorization and face recognition, biometrics and surveillance, stereo, motion analysis, and tracking, segmentation, detection, color and texture, as well as machine learning, recognition, biometrics and surveillance
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