Computer Vision -- ECCV 2010
Springer Berlin (Verlag)
978-3-642-15560-4 (ISBN)
Spotlights and Posters W1.- Kernel Sparse Representation for Image Classification and Face Recognition.- Every Picture Tells a Story: Generating Sentences from Images.- An Eye Fixation Database for Saliency Detection in Images.- Face Image Relighting using Locally Constrained Global Optimization.- Correlation-Based Intrinsic Image Extraction from a Single Image.- ADICT: Accurate Direct and Inverse Color Transformation.- Real-Time Specular Highlight Removal Using Bilateral Filtering.- Learning Artistic Lighting Template from Portrait Photographs.- Photometric Stereo from Maximum Feasible Lambertian Reflections.- Part-Based Feature Synthesis for Human Detection.- Improving the Fisher Kernel for Large-Scale Image Classification.- Max-Margin Dictionary Learning for Multiclass Image Categorization.- Towards Optimal Naive Bayes Nearest Neighbor.- Weakly Supervised Classification of Objects in Images Using Soft Random Forests.- Learning What and How of Contextual Models for Scene Labeling.- Adapting Visual Category Models to New Domains.- Improved Human Parsing with a Full Relational Model.- Multiresolution Models for Object Detection.- Accurate Image Localization Based on Google Maps Street View.- A Minimal Case Solution to the Calibrated Relative Pose Problem for the Case of Two Known Orientation Angles.- Bilinear Factorization via Augmented Lagrange Multipliers.- Piecewise Quadratic Reconstruction of Non-Rigid Surfaces from Monocular Sequences.- Extrinsic Camera Calibration Using Multiple Reflections.- Probabilistic Deformable Surface Tracking from Multiple Videos.- Theory of Optimal View Interpolation with Depth Inaccuracy.- Practical Methods for Convex Multi-view Reconstruction.- Building Rome on a Cloudless Day.- Camera Pose Estimation Using Images of Planar Mirror Reflections.- Element-Wise Factorization for N-View Projective Reconstruction.- Learning Relations among Movie Characters: A Social Network Perspective.- Scene and Object Recognition.- What, Where and HowMany? Combining Object Detectors and CRFs.- Visual Recognition with Humans in the Loop.- Localizing Objects While Learning Their Appearance.- Monocular 3D Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes.- Blocks World Revisited: Image Understanding Using Qualitative Geometry and Mechanics.- Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding.- Spotlights and Posters W2.- Visual Tracking Using a Pixelwise Spatiotemporal Oriented Energy Representation.- A Globally Optimal Approach for 3D Elastic Motion Estimation from Stereo Sequences.- Occlusion Boundary Detection Using Pseudo-depth.- Multiple Target Tracking in World Coordinate with Single, Minimally Calibrated Camera.- Joint Estimation of Motion, Structure and Geometry from Stereo Sequences.- Dense, Robust, and Accurate Motion Field Estimation from Stereo Image Sequences in Real-Time.- Estimation of 3D Object Structure, Motion and Rotation Based on 4D Affine Optical Flow Usinga Multi-camera Array.- Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces.- Robust and Fast Collaborative Tracking with Two Stage Sparse Optimization.- Nonlocal Multiscale Hierarchical Decomposition on Graphs.- Adaptive Regularization for Image Segmentation Using Local Image Curvature Cues.- A Static SMC Sampler on Shapes for the Automated Segmentation of Aortic Calcifications.- Fast Dynamic Texture Detection.- Finding Semantic Structures in Image Hierarchies Using Laplacian Graph Energy.- Semantic Segmentation of Urban Scenes Using Dense Depth Maps.- Tensor Sparse Coding for Region Covariances.- Improving Local Descriptors by Embedding Global and Local Spatial Information.- Detecting Faint Curved Edges in Noisy Images.- Spatial Statistics of Visual Keypoints for Texture Recognition.- BRIEF: Binary Robust Independent Elementary Features.- Multi-label Feature Transform for Image Classifications.
| Erscheint lt. Verlag | 30.8.2010 |
|---|---|
| Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
| Zusatzinfo | XXIII, 815 p. 393 illus. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Algorithm analysis and problem complexity • biometrics • computational imaging • face recognition • gesture recognition • Illumination • image alignment • Image Analysis • image grouping • image matching • image registratino • Medical Image Analysis • Object Representation • reflectance • scene representation • shape recognition • Shape Representation • Stereo Images • visual learning |
| ISBN-10 | 3-642-15560-X / 364215560X |
| ISBN-13 | 978-3-642-15560-4 / 9783642155604 |
| Zustand | Neuware |
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