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Computer vision-- ECCV 2006 : 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006 : proceedings

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Cover of 'Computer vision-- ECCV 2006 : 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006 : proceedings'

Table of Contents

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    Book Overview
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    Chapter 1 TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
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    Chapter 2 Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition
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    Chapter 3 Hyperfeatures – Multilevel Local Coding for Visual Recognition
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    Chapter 4 Riemannian Manifold Learning for Nonlinear Dimensionality Reduction
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    Chapter 5 Controlling Sparseness in Non-negative Tensor Factorization
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    Chapter 6 Conditional Infomax Learning: An Integrated Framework for Feature Extraction and Fusion
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    Chapter 7 Degen Generalized Cylinders and Their Properties
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    Chapter 8 Geodesics Between 3D Closed Curves Using Path-Straightening
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    Chapter 9 Robust Homography Estimation from Planar Contours Based on Convexity
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    Chapter 10 Detecting Instances of Shape Classes That Exhibit Variable Structure
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    Chapter 11 Direct Solutions for Computing Cylinders from Minimal Sets of 3D Points
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    Chapter 12 Estimation of Multiple Periodic Motions from Video
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    Chapter 13 Robust Multi-body Motion Tracking Using Commute Time Clustering
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    Chapter 14 A Tuned Eigenspace Technique for Articulated Motion Recognition
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    Chapter 15 Real-Time Non-rigid Shape Recovery Via Active Appearance Models for Augmented Reality
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    Chapter 16 A Fluid Motion Estimator for Schlieren Image Velocimetry
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    Chapter 17 Bilateral Filtering-Based Optical Flow Estimation with Occlusion Detection
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    Chapter 18 Geometry and Kinematics with Uncertain Data
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    Chapter 19 Euclidean Structure from N ≥ 2 Parallel Circles: Theory and Algorithms
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    Chapter 20 Overconstrained Linear Estimation of Radial Distortion and Multi-view Geometry
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    Chapter 21 Camera Calibration with Two Arbitrary Coaxial Circles
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    Chapter 22 Molding Face Shapes by Example
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    Chapter 23 Reconstruction of Canal Surfaces from Single Images Under Exact Perspective
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    Chapter 24 Subspace Estimation Using Projection Based M-Estimators over Grassmann Manifolds
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    Chapter 25 Learning 2D Hand Shapes Using the Topology Preservation Model GNG
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    Chapter 26 Towards Optimal Training of Cascaded Detectors
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    Chapter 27 Learning and Incorporating Top-Down Cues in Image Segmentation
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    Chapter 28 Learning to Detect Objects of Many Classes Using Binary Classifiers
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    Chapter 29 Computer Vision – ECCV 2006
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    Chapter 30 Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement
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    Chapter 31 From Tensor-Driven Diffusion to Anisotropic Wavelet Shrinkage
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    Chapter 32 SURF: Speeded Up Robust Features
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    Chapter 33 Top-Points as Interest Points for Image Matching
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    Chapter 34 Machine Learning for High-Speed Corner Detection
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    Chapter 35 Smooth Image Segmentation by Nonparametric Bayesian Inference
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    Chapter 36 Shape Analysis and Fuzzy Control for 3D Competitive Segmentation of Brain Structures with Level Sets
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    Chapter 37 Variational Motion Segmentation with Level Sets
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    Chapter 38 Ellipse Fitting with Hyperaccuracy
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    Chapter 39 A Physically-Motivated Deformable Model Based on Fluid Dynamics
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    Chapter 40 Video and Image Bayesian Demosaicing with a Two Color Image Prior
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    Chapter 41 Generalized Multi-sensor Planning
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    Chapter 42 Variational Shape and Reflectance Estimation Under Changing Light and Viewpoints
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    Chapter 43 Specularity Removal in Images and Videos: A PDE Approach
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    Chapter 44 Carved Visual Hulls for Image-Based Modeling
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    Chapter 45 What Is the Range of Surface Reconstructions from a Gradient Field?
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    Chapter 46 Practical Global Optimization for Multiview Geometry
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    Chapter 47 Perspective n-View Multibody Structure-and-Motion Through Model Selection
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    Chapter 48 Confocal Stereo
Attention for Chapter 11: Real-time upper body detection and 3d pose estimation in monoscopic images
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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