Computer Vision -- ECCV 2010
Springer Berlin (Verlag)
978-3-642-15566-6 (ISBN)
Visual Learning.- Constrained Spectral Clustering via Exhaustive and Efficient Constraint Propagation.- Object Recognition with Hierarchical Stel Models.- MIForests: Multiple-Instance Learning with Randomized Trees.- Manifold Valued Statistics, Exact Principal Geodesic Analysis and the Effect of Linear Approximations.- Stacked Hierarchical Labeling.- Spotlights and Posters R2.- Fully Isotropic Fast Marching Methods on Cartesian Grids.- Clustering Complex Data with Group-Dependent Feature Selection.- On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation.- Exploring the Identity Manifold: Constrained Operations in Face Space.- Multi-label Linear Discriminant Analysis.- Convolutional Learning of Spatio-temporal Features.- Learning Pre-attentive Driving Behaviour from Holistic Visual Features.- Detecting People Using Mutually Consistent Poselet Activations.- Disparity Statistics for Pedestrian Detection: Combining Appearance, Motion and Stereo.- Multi-stage Sampling with Boosting Cascades for Pedestrian Detection in Images and Videos.- Learning to Detect Roads in High-Resolution Aerial Images.- Thinking Inside the Box: Using Appearance Models and Context Based on Room Geometry.- A Structural Filter Approach to Human Detection.- Geometric Constraints for Human Detection in Aerial Imagery.- Handling Urban Location Recognition as a 2D Homothetic Problem.- Recursive Coarse-to-Fine Localization for Fast Object Detection.- A Local Bag-of-Features Model for Large-Scale Object Retrieval.- Velocity-Dependent Shutter Sequences for Motion Deblurring.- Colorization for Single Image Super Resolution.- Programmable Aperture Camera Using LCoS.- A New Algorithmic Approach for Contrast Enhancement.- Seeing through Obscure Glass.- A Continuous Max-Flow Approach to Potts Model.- Hybrid Compressive Sampling via a New Total Variation TVL1.- Perspective Imaging under Structured Light.- Lighting and Pose Robust Face Sketch Synthesis.- Predicting Facial Beauty without Landmarks.- Gabor Feature Based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary.- Motion Profiles for Deception Detection Using Visual Cues.- A Robust and Scalable Approach to Face Identification.- Emotion Recognition from Arbitrary View Facial Images.- Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model.- Robust Head Pose Estimation Using Supervised Manifold Learning.- Knowledge Based Activity Recognition with Dynamic Bayesian Network.- View and Style-Independent Action Manifolds for Human Activity Recognition.- Figure-Ground Image Segmentation Helps Weakly-Supervised Learning of Objects.- Enhancing Interactive Image Segmentation with Automatic Label Set Augmentation.- Hough Transform and 3D SURF for Robust Three Dimensional Classification.
Erscheint lt. Verlag | 30.8.2010 |
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Reihe/Serie | Image Processing, Computer Vision, Pattern Recognition, and Graphics | Lecture Notes in Computer Science |
Zusatzinfo | XXII, 611 p. 282 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 Registration • Image Segmentation • Medical Image Analysis • Object Representation • reflectance • scene representation • shape recognition • Shape Representation • Stereo Images • visual learning |
ISBN-10 | 3-642-15566-9 / 3642155669 |
ISBN-13 | 978-3-642-15566-6 / 9783642155666 |
Zustand | Neuware |
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