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101221s2006 gw | s |||| 0|eng d |
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|a 9783540338376
|9 978-3-540-33837-6
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|a 10.1007/11744078
|2 doi
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|a Computer Vision -- ECCV 2006
|h [electronic resource] :
|b 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006, Proceedings, Part III /
|c edited by Aleš Leonardis, Horst Bischof, Axel Pinz.
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| 250 |
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|a 1st ed. 2006.
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| 264 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2006.
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| 300 |
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|a XVIII, 654 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a text file
|b PDF
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|a Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
|v 3953
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| 505 |
0 |
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|a Recognition II -- Blind Vision -- Object Detection by Contour Segment Networks -- Sparse Flexible Models of Local Features -- Shape from X -- Differential Geometric Consistency Extends Stereo to Curved Surfaces -- Resolution-Enhanced Photometric Stereo -- The 4-Source Photometric Stereo Under General Unknown Lighting -- Poster Session III -- Incorporating Non-motion Cues into 3D Motion Segmentation -- Multi-camera Tracking and Segmentation of Occluded People on Ground Plane Using Search-Guided Particle Filtering -- Learning Semantic Scene Models by Trajectory Analysis -- Multivariate Relevance Vector Machines for Tracking -- Real-Time Upper Body Detection and 3D Pose Estimation in Monoscopic Images -- Gait Recognition Using a View Transformation Model in the Frequency Domain -- Multiview Geometry and 3D Methods -- Video Mensuration Using a Stationary Camera -- Revisiting the Brightness Constraint: Probabilistic Formulation and Algorithms -- Triangulation for Points on Lines -- A Fast Line Segment Based Dense Stereo Algorithm Using Tree Dynamic Programming -- Describing and Matching 2D Shapes by Their Points of Mutual Symmetry -- Oriented Visibility for Multiview Reconstruction -- Integrating Surface Normal Vectors Using Fast Marching Method -- Statistical Models and Visual Learning -- Learning Discriminative Canonical Correlations for Object Recognition with Image Sets -- Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts -- Sampling Representative Examples for Dimensionality Reduction and Recognition - Bootstrap Bumping LDA -- Studying Aesthetics in Photographic Images Using a Computational Approach -- Located Hidden Random Fields: Learning Discriminative Parts for Object Detection -- Learning Compositional Categorization Models -- EMD-L 1: An Efficient and Robust Algorithm for Comparing Histogram-Based Descriptors -- Face/Gesture/Action Detection and Recognition -- 2D and 3D Multimodal Hybrid Face Recognition -- Robust Attentive Behavior Detection by Non-linear Head Pose Embedding and Estimation -- Human Pose Tracking Using Multi-level Structured Models -- Context-Aided Human Recognition - Clustering -- Robust Expression-Invariant Face Recognition from Partially Missing Data -- Segmentation and Grouping -- An Integral Solution to Surface Evolution PDEs Via Geo-cuts -- Detecting Doctored JPEG Images Via DCT Coefficient Analysis -- A Learning Based Approach for 3D Segmentation and Colon Detagging -- Fast, Quality, Segmentation of Large Volumes - Isoperimetric Distance Trees -- Segmentation of High Angular Resolution Diffusion MRI Modeled as a Field of von Mises-Fisher Mixtures -- Globally Optimal Active Contours, Sequential Monte Carlo and On-Line Learning for Vessel Segmentation -- Matching -- Optimal Multi-frame Correspondence with Assignment Tensors -- Kernel-Predictability: A New Information Measure and Its Application to Image Registration -- Algebraic Methods for Direct and Feature Based Registration of Diffusion Tensor Images -- Rethinking the Prior Model for Stereo -- Aligning Sequences and Actions by Maximizing Space-Time Correlations -- Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction -- Enforcing Temporal Consistency in Real-Time Stereo Estimation -- The Alignment Between 3-D Data and Articulated Shapes with Bending Surfaces -- Visual Tracking -- Feature Harvesting for Tracking-by-Detection -- Effective Appearance Model and Similarity Measure for Particle Filtering and Visual Tracking -- Tracking and Labelling of Interacting Multiple Targets -- Level-Set Curve Particles.
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| 650 |
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|a Computer vision.
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| 650 |
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|a Pattern recognition systems.
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| 650 |
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|a Computer graphics.
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| 650 |
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|a Artificial intelligence.
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| 650 |
1 |
4 |
|a Computer Vision.
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| 650 |
2 |
4 |
|a Automated Pattern Recognition.
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| 650 |
2 |
4 |
|a Computer Graphics.
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| 650 |
2 |
4 |
|a Artificial Intelligence.
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| 700 |
1 |
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|a Leonardis, Aleš.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Bischof, Horst.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Pinz, Axel.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer Nature eBook
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783540823315
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783540338369
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| 830 |
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|a Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
|v 3953
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| 856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/11744078
|z Texto Completo
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| 912 |
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|a ZDB-2-SCS
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|a ZDB-2-SXCS
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| 912 |
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (SpringerNature-11645)
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| 950 |
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|a Computer Science (R0) (SpringerNature-43710)
|
