Computer Vision -- ECCV 2014
Springer International Publishing (Verlag)
978-3-319-10598-7 (ISBN)
All-In-Focus Synthetic Aperture Imaging.- Photo Uncrop.- Solving Square Jigsaw Puzzles with Loop Constraints.- Geometric Calibration of Micro-Lens-Based Light-Field Cameras Using Line Features.- Spatio-temporal Matching for Human Detection in Video.- Collaborative Facial Landmark Localization for Transferring Annotations Across Datasets.- Facial Landmark Detection by Deep Multi-task Learning.- Joint Cascade Face Detection and Alignment.- Weighted Block-Sparse Low RankRepresentation for Face Clustering in Videos.- Crowd Tracking with Dynamic Evolution of Group Structures.- Tracking Using Multilevel Quantizations.- Occlusion and Motion Reasoning for Long-Term Tracking.- MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization.- Robust Motion Segmentation with Unknown Correspondences.- Monocular Multiview Object Tracking with 3D Aspect Parts.- Modeling Blurred Video with Layers.- Efficient Image and Video Co-localization with Frank-Wolfe Algorithm.- Non-parametric Higher-Order Random Fields for Image Segmentation.- Co-Sparse Textural Similarity for Interactive Segmentation.- A Convergent Incoherent Dictionary Learning Algorithm for Sparse Coding.- Free-Shape Polygonal Object Localization.- Interactively Guiding Semi-Supervised Clustering via Attribute-BasedExplanations.- Attributes Make Sense on Segmented Objects.- Towards Transparent Systems: Semantic Characterization of Failure Modes.- Orientation Covariant Aggregation of Local Descriptors with Embeddings.- Similarity-Invariant Sketch-Based Image Retrieval in Large Databases.- Discovering Object Classes from Activities.- Weakly Supervised Object Localization with Latent Category Learning.- Food-101 - Mining Discriminative Components with Random Forests.- Latent-Class Hough Forests for 3D Object Detection and Pose Estimation.- FPM: Fine Pose Parts-Based Model with 3D CAD Models.- Learning High-Level Judgments of Urban Perception.- CollageParsing: Nonparametric Scene Parsing by Adaptive Overlapping Windows.- Discovering Video Clusters from Visual Features and Noisy Tags.- Category-Specific Video Summarization.- Assessing the Quality of Actions.- HiRF: Hierarchical Random Field for Collective Activity Recognition in Videos.- Part Bricolage: Flow-Assisted Part-Based Graphs for Detecting Activities in Videos.- GIS-Assisted Object Detection and Geospatial Localization.- Context-Based Pedestrian Path Prediction.- Sliding Shapes for 3D Object Detection in Depth Images.- Integrating Context and Occlusion for Car Detection by Hierarchical And-Or Model.- PanoContext: A Whole-Room 3D Context Model for Panoramic Scene Understanding.- Unfolding an Indoor Origami World.- Joint Semantic Segmentation and 3D Reconstruction from Monocular Video.- A New Variational Framework for Multiview Surface Reconstruction.- Multi-body Depth-Map Fusion with Non-intersection Constraints.- Shape from Light Field Meets Robust PCA.- Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval.- ReverseTraining: An Efficient Approach for Image Set Classification.- Real-Time Exemplar-Based Face Sketch Synthesis.- Domain-Adaptive Discriminative One-Shot Learning of Gestures.
Erscheint lt. Verlag | 22.9.2014 |
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Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
Zusatzinfo | XXVI, 832 p. 351 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 1294 g |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Mathematik / Informatik ► Informatik ► Software Entwicklung | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | 3D • activity recognition and understanding • Artificial Intelligence • computational photography • Computer Graphics • computer vision • Computervision • computer vision problems • face recognition • image and video acquisition • image manipulation • Image Processing • Image Segmentation • interest point and salient region detections • machine learning • Matching • Motion Capture • Object detection • pattern recognition • reconstruction • Scene Understanding |
ISBN-10 | 3-319-10598-1 / 3319105981 |
ISBN-13 | 978-3-319-10598-7 / 9783319105987 |
Zustand | Neuware |
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