Computer Vision -- ACCV 2012

11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part II
Herausgegeben:Lee, Kyoung Mu; Matsushita, Yasuyuki; Rehg, James M.; Hu, Zhanyi

• Broschiertes Buch

Produktbeschreibung

The four-volume set LNCS 7724--7727 constitutes the thoroughly refereed post-conference proceedings of the 11th Asian Conference on Computer Vision, ACCV 2012, held in Daejeon, Korea, in November 2012.The total of 226 contributions presented in these volumes was carefully reviewed and selected from 869 submissions. The papers are organized in topical sections on object detection, learning and matching; object recognition; feature, representation, and recognition; segmentation, grouping, and classification; image representation; image and video retrieval and medical image analysis; face and gesture analysis and recognition; optical flow and tracking; motion, tracking, and computational photography; video analysis and action recognition; shape reconstruction and optimization; shape from X and photometry; applications of computer vision; low-level vision and applications of computer vision.

Produktdetails

• Lecture Notes in Computer Science 7725
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-642-37443-2
• 2013
• Seitenzahl: 844
• Erscheinungstermin: 4. April 2013
• Englisch
• Abmessung: 235mm x 155mm x 45mm
• Gewicht: 1253g
• ISBN-13: 9783642374432
• ISBN-10: 3642374433
• Artikelnr.: 37478946

Inhaltsangabe

Poster Session 3 (Continued): Segmentation, Grouping, and ClassificationMulti-layer Spectral Clustering for Video Segmentation.- Video Co-segmentation.- Globally Minimal Path Method Using Dynamic Speed Functions Based on Progressive Wave Propagation.- Vanishing Points Estimation and Line Classification in a Manhattan World.- Online Learning for Fast Segmentation of Moving Objects.- A Linear Programming Based Method for Joint Object Region Matching and Labeling.- Using Models of Objects with Deformable Parts for Joint Categorization and Segmentation of Objects.- A Robust Stereo Prior for Human Segmentation.- Voronoi-Based Extraction of a Feature Skeleton from Noisy Triangulated Surfaces.- Maximal Cliques Based Rigid Body Motion Segmentation with a RGB-D Camera.- Online Web-Data-Driven Segmentation of Selected Moving Objects in Videos.- Multi-Level Structured Image Coding on High-Dimensional Image Representation.- Incremental Slow Feature Analysis with Indefinite Kernel for Online Temporal Video Segmentation.- Texture Classification Based on BIMF Monogenic Signals.- Toward Perception-Based Shape Decomposition.- Co-regularized PLSA for Multi-view Clustering.- Oral Session 4: Image Representation.- Quadra-Embedding: Binary Code Embedding with Low Quantization Error.- Learning a Context Aware Dictionary for Sparse Representation.- Robust Multiple-Instance Learning with Superbags.- Poster Session 4: Image/Video Retrieval and Medical Image Analysis.- Automatic Grading of Cortical and PSC Cataracts UsingRetroillumination Lens Images.- Registration of Pre-operative CT and Non-contrast-Enhanced C-arm CT: An Application to Trans-Catheter Aortic Valve Implantation (TAVI).- Automatic Webcam-Based Human Heart Rate Measurements Using Laplacian Eigenmap.- Superpixel Classification Based Optic Disc Segmentation.- Anterior Cruciate Ligament Segmentation from Knee MR Images Using Graph Cuts with Geometric and Probabilistic Shape Constraints.- Robust Mid-Sagittal Plane Extraction in 3-D Ultrasound Fetal Volume for First Trimester Screening.- Automatic Skin Lesion Segmentation Based on Texture Analysis and Supervised Learning.- Multiscale Convolutional Neural Networks for Vision-BasedClassification of Cells.- Semantic-Context-Based Augmented Descriptor for Image Feature Matching.- Image Synthesis and Occlusion Removal of Intermediate Views by Stereo Matching.- PEDIVHANDI: Multimodal Indexation and Retrieval System for Lecture Videos.- Digitization of Deformed Documents Using a High-Speed Multi-camera Array.- A Phase-Based Approach for Caption Detection in Videos.- Efficient Clothing Retrieval with Semantic-Preserving Visual Phrases.- VISOR: Towards On-the-Fly Large-Scale Object Category Retrieval.- A Picture Is Worth a Thousand Tags: Automatic Web Based Image Tag Expansion.- Image Retrieval Using Eigen Queries.- Fast and Effective Retrieval of Plant Leaf Shapes.- Complete Generic Camera Calibration and Modeling Using SplineSurfaces.- q-Gaussian Mixture Models Based on Non-extensive Statistics forImage And Video Semantic Indexing.- Oral Session 5: Object Recognition II.- Rapid Uncertainty Computation with Gaussian Processes andHistogram Intersection Kernels.- Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor.- Globally Optimal Consensus Set Maximization through Rotation Search.- Graspable Parts Recognition in Man-Made 3D Shapes.- Poster Session 5: Face/Gesture Analysis andRecognition.- Face Recognition after Plastic Surgery: A Comprehensive Study.- Enhancing Expression Recognition in the Wild with UnlabeledReference Data.- Benchmarking Still-to-Video Face Recognition via Partial and Local Linear Discriminant Analysis on COX-S2V Dataset.- Fusing Magnitude and Phase Features for Robust Face Recognition.- Finding Happiest Moments in a Social Context.- Sparsity Sharing Embedding for Face Verification.- Semantic Pixel Sets Based Local Binary Patterns for Face Recognition.- An Adaptation Framework for Head-PoseClassification in Dynamic Multi-view Scenarios.- Face Parts Localization Using Structured-Output Regression Forests.- Human Face Super-Resolution Based on NSCT.- Digital Paparazzi: Spotting Celebrities in Professional Photo Libraries.- Nighttime Face Recognition at Long Distance: Cross-Distance and Cross-Spectral Matching.- Hand Posture Recognition from Disparity Cost Map.- Qualitative Pose Estimation by Discriminative Deformable Part Models.- Learning Discriminant Face Descriptor for Face Recognition.- Optimal Operator Space Pursuit: A Framework for Video Sequence Data Analysis.- Cross-view Graph Embedding.- Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization.- Hierarchical Space Tiling for Scene Modeling.