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Computer vision-ECCV 2010 : 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, proceedings. Part VI

Author: Kostas Daniilidis; Petros Maragos; Nikos Paragios
Publisher: Berlin : Springer, 2010.
Series: Lecture notes in computer science, 6316.; LNCS sublibrary., SL 6,, Image processing, computer vision, pattern recognition, and graphics.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Additional Physical Format: Print version:
Computer vision - ECCV 2010.
Berlin : Springer, 2010
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Kostas Daniilidis; Petros Maragos; Nikos Paragios
ISBN: 9783642155673 3642155677
OCLC Number: 676700408
Description: 1 online resource (xxii, 604 pages) : illustrations.
Contents: 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.
Series Title: Lecture notes in computer science, 6316.; LNCS sublibrary., SL 6,, Image processing, computer vision, pattern recognition, and graphics.
Responsibility: Kostas Daniilidis, Petros Maragos, Nikos Paragios (eds.).

Abstract:

(5) The Area Chair selection process made all possible efforts to achieve a reasonable geographic distribution between countries, thematic areas and trends in computer vision. Each Area Chair was  Read more...

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