Computer Vision -- ECCV 2014
Springer International Publishing (Verlag)
978-3-319-10583-3 (ISBN)
Person Re-Identification Using Kernel-Based Metric Learning Methods.- Saliency in Crowd.- Webpage Saliency.- Deblurring Face Images with Exemplars.- Sparse Spatio-spectral Representation for Hyperspectral Image Super-resolution.- Hybrid Image Deblurring by Fusing Edge and Power Spectrum Information.- Affine Subspace Representation for Feature Description.- A Generative Model for the Joint Registration of Multiple Point Sets.- Change Detection in the Presence of Motion Blur and Rolling Shutter Effect.- An Analysis of Errors in Graph-Based Keypoint Matching and Proposed Solutions.- OpenDR: An Approximate Differentiable Renderer.- A Superior Tracking Approach: Building a Strong Tracker through Fusion.- Training-Based Spectral Reconstruction from a Single RGB Image.- On Shape and Material Recovery from Motion.- Intrinsic Image Decomposition Using Structure-Texture Separation and Surface Normals.- Multi-level Adaptive Active Learning for Scene Classification.- Graph Cuts for Supervised Binary Coding.- Planar Structure Matching under Projective Uncertainty for Geolocation.- Active Deformable Part Models Inference.- Simultaneous Detection and Segmentation.- Learning Graphs to Model Visual Objects across Different Depictive Styles.- Analyzing the Performance of Multilayer Neural Networks for Object Recognition.- Learning Rich Features from RGB-D Images for Object Detection andSegmentation.- Scene Classification via Hypergraph-Based Semantic Attributes Subnetworks Identification.- OTC: A Novel Local Descriptor for Scene Classification.- Multi-scale Orderless Pooling of Deep Convolutional Activation Features.- Expanding the Family of Grassmannian Kernels: An Embedding Perspective.- Image Tag Completion by Noisy Matrix Recovery.- ConceptMap: Mining Noisy Web Data for Concept Learning.- Shrinkage Expansion Adaptive Metric Learning.- Salient Montages from Unconstrained Videos.- Action-Reaction: Forecasting the Dynamics of Human Interaction.- Creating Summaries from User Videos.- Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow.- Robust Foreground Detection Using Smoothness and Arbitrariness Constraints.- Video Object Co-segmentation by Regulated Maximum Weight Cliques.- Dense Semi-rigid Scene Flow Estimation from RGBD Images.- Video Pop-up: Monocular 3D Reconstruction of Dynamic Scenes.- Joint Object Class Sequencing and Trajectory Triangulation (JOST).- Scene Chronology.
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, 632 p. 261 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 997 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 |
ISBN-10 | 3-319-10583-3 / 3319105833 |
ISBN-13 | 978-3-319-10583-3 / 9783319105833 |
Zustand | Neuware |
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