Computer Vision -- ACCV 2014
Springer International Publishing (Verlag)
978-3-319-16816-6 (ISBN)
Accelerating the Distribution Estimation for the Weighted Median/Mode Filters.- Saliency Aggregation: Does Unity Make Strength.- Spontaneous Subtle Expression Recognition: Imbalanced Databases and Solutions.- EPML: Expanded Parts Based Metric Learning for Occlusion Robust Face Verification.- Pixel-Level Hand Detection with Shape-Aware Structured Forests.- Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programming.- Shape Matching Using Point Context and Contour Segments.- A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution.- Multiple Ocular Diseases Classification with Graph Regularized Probabilistic Multi-label Learning.- Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis.- A Novel Context-Aware Topic Model for Category Discovery in Natural Scenes.- Robust Sharpness Metrics Using Reorganized DCT Coefficients for Auto-Focus Application.-Dislocation: Scalable Descriptor Distinctiveness for Location Recognition.- Discriminative Collaborative Representation for Classification.- Thread-Safe: Towards Recognizing Human Actions Across Shot Boundaries.- Consistent Foreground Co-segmentation.-On Multiple Image Group Co segmentation.- Reconstructive Sparse Code Transfer for Contour Detection and Semantic Labeling.- A Message Passing Algorithm for MRF Inference with Unknown Graphs and Its Applications.- Joint Estimation of Pose and Face Landmark.- Probabilistic Sub pixel Temporal Registration for Facial Expression Analysis.- Depth Recovery with Face Priors.- Inlier Estimation for Moving Camera Motion Segmentation.- Real-Time Tracking of Multiple Objects by Linear Motion and Repulsive Motion.- 6-DOF Model Based Tracking via Object Coordinate Regression.- Probabilistic State Space Decomposition for Human Motion Capture.- Spectral Graph Skeletons for 3D Action Recognition.- Robust Point Matching Using Mixture of Asymmetric Gaussians for Nonrigid Transformation.- MultipleObject Tracking by Efficient Graph Partitioning.- Fast Approximate Nearest-Neighbor Field by Cascaded Spherical Hashing.- Coupling Semi-supervised Learning and Example Selection for Online Object Tracking.- Reconstructing Shape and Appearance of Thin Film Objects with Hyper Spectral Sensor.- A Two-Stage Approach for Bag Detection in Pedestrian Images.- Recognizing Daily Activities from First-Person Videos with Multi-task Clustering.- Multi-view Recognition Using Weighted View Selection.- Graph Transduction Learning of Object Proposals for Video Object Segmentation.-Forecasting Events Using an Augmented Hidden Conditional Random Field.- Camera Motion and Surrounding Scene Appearance as Context for Action Recognition.- Semi-Supervised Ranking for Re-identification with Few Labeled Image Pairs.- Robust Visual Tracking with Dual Group Structure.- 3D Reconstruction of Specular Objects with Occlusion: A Shape-from-Scattering Approach.- 2D or Not 2D: Bridging the Gap Between Tracking and Structure from Motion.- Clouds in the Cloud.- Fast Segmentation of Sparse 3D Point Trajectories Using Group Theoretical Invariants.- Super pixels for Video Content Using a Contour-Based EM Optimization.-Transformed Principal Gradient Orientation for Robust and Precise Batch Face Alignment.
Erscheint lt. Verlag | 29.4.2015 |
---|---|
Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
Zusatzinfo | XX, 731 p. 323 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 1144 g |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Schlagworte | Action Recognition • Aerial Images • camera calibration • city-scale • Data Mining • differential constraints • Information Retrieval • Künstliche Intelligenz • large datasets • level set functions • machine learning • Medizinische Informatik • multiple instance learning • multi-view • multi-view stereo • Mustererkennung • registration • street-view images • video analysis • Video segmentation |
ISBN-10 | 3-319-16816-9 / 3319168169 |
ISBN-13 | 978-3-319-16816-6 / 9783319168166 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich