Computer Vision – ECCV 2006 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006. Proceedings, Part II /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Leonardis, Aleš (Επιμελητής έκδοσης), Bischof, Horst (Επιμελητής έκδοσης), Pinz, Axel (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Σειρά:Lecture Notes in Computer Science, 3952
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Computer Vision – ECCV 2006  |h [electronic resource] :  |b 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006. Proceedings, Part II /  |c edited by Aleš Leonardis, Horst Bischof, Axel Pinz. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2006. 
300 |a XVIII, 670 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 3952 
505 0 |a Energy Minimization -- Comparison of Energy Minimization Algorithms for Highly Connected Graphs -- A Comparative Study of Energy Minimization Methods for Markov Random Fields -- Measuring Uncertainty in Graph Cut Solutions – Efficiently Computing Min-marginal Energies Using Dynamic Graph Cuts -- Tracking and Motion -- Tracking Dynamic Near-Regular Texture Under Occlusion and Rapid Movements -- Simultaneous Object Pose and Velocity Computation Using a Single View from a Rolling Shutter Camera -- A Theory of Multiple Orientation Estimation -- Poster Session II -- Resolution-Aware Fitting of Active Appearance Models to Low Resolution Images -- High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints -- Enhancing the Point Feature Tracker by Adaptive Modelling of the Feature Support -- Tracking Objects Across Cameras by Incrementally Learning Inter-camera Colour Calibration and Patterns of Activity -- Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers -- Multiview Geometry and 3D Reconstruction -- Balanced Exploration and Exploitation Model Search for Efficient Epipolar Geometry Estimation -- Shape-from-Silhouette with Two Mirrors and an Uncalibrated Camera -- Robust and Efficient Photo-Consistency Estimation for Volumetric 3D Reconstruction -- An Affine Invariant of Parallelograms and Its Application to Camera Calibration and 3D Reconstruction -- Nonrigid Shape and Motion from Multiple Perspective Views -- 3D Surface Reconstruction Using Graph Cuts with Surface Constraints -- Statistical Models and Visual Learning -- Trace Quotient Problems Revisited -- Learning Nonlinear Manifolds from Time Series -- Accelerated Convergence Using Dynamic Mean Shift -- Efficient Belief Propagation with Learned Higher-Order Markov Random Fields -- Non Linear Temporal Textures Synthesis: A Monte Carlo Approach -- Low-Level Vision, Image Features -- Curvature-Preserving Regularization of Multi-valued Images Using PDE’s -- Higher Order Image Pyramids -- Image Specific Feature Similarities -- Coloring Local Feature Extraction -- Defocus Inpainting -- Viewpoint Induced Deformation Statistics and the Design of Viewpoint Invariant Features: Singularities and Occlusions -- Face/Gesture/Action Detection and Recognition -- Spatio-temporal Embedding for Statistical Face Recognition from Video -- Super-Resolution of 3D Face -- Estimating Gaze Direction from Low-Resolution Faces in Video -- Learning Effective Intrinsic Features to Boost 3D-Based Face Recognition -- Human Detection Using Oriented Histograms of Flow and Appearance -- Cyclostationary Processes on Shape Spaces for Gait-Based Recognition -- Segmentation and Grouping -- Multiclass Image Labeling with Semidefinite Programming -- Automatic Image Segmentation by Positioning a Seed -- Patch-Based Texture Edges and Segmentation -- Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics -- Detecting Symmetry and Symmetric Constellations of Features -- Discovering Texture Regularity as a Higher-Order Correspondence Problem -- Object Recognition, Retrieval and Indexing -- Exploiting Model Similarity for Indexing and Matching to a Large Model Database -- Shift-Invariant Dynamic Texture Recognition -- Modeling 3D Objects from Stereo Views and Recognizing Them in Photographs -- A Boundary-Fragment-Model for Object Detection -- Region Covariance: A Fast Descriptor for Detection and Classification -- Segmentation -- Affine-Invariant Multi-reference Shape Priors for Active Contours -- Figure/Ground Assignment in Natural Images -- Background Cut -- PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts. 
650 0 |a Computer science. 
650 0 |a Artificial intelligence. 
650 0 |a Computer graphics. 
650 0 |a Image processing. 
650 0 |a Pattern recognition. 
650 1 4 |a Computer Science. 
650 2 4 |a Image Processing and Computer Vision. 
650 2 4 |a Pattern Recognition. 
650 2 4 |a Computer Graphics. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
700 1 |a Leonardis, Aleš.  |e editor. 
700 1 |a Bischof, Horst.  |e editor. 
700 1 |a Pinz, Axel.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783540338345 
830 0 |a Lecture Notes in Computer Science,  |x 0302-9743 ;  |v 3952 
856 4 0 |u http://dx.doi.org/10.1007/11744047  |z Full Text via HEAL-Link 
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950 |a Computer Science (Springer-11645)