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Computer vision, ECCV 2000 : 6th European Conference on Computer Vision, Dublin, Ireland, June 26-July 1, 2000 : proceedings

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Computer vision, ECCV 2000 : 6th European Conference on Computer Vision, Dublin, Ireland, June 26 July 1, 2000

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Author: European Conference on Computer Vision (6th : 2000 : Dublin, Ireland), Vernon, David, 1958-

Added by: sketch

Added Date: 2015-12-30

Language: eng

Subjects: Computer vision, Vision par ordinateur, Beeldverwerking, Computers, Processamento grafico (graphics), Inteligencia artificial (computacao), Inteligencia artificial (computacao), Vision par ordinateur

Publishers: Berlin ; New York : Springer

Collections: folkscanomy miscellaneous, folkscanomy, additional collections

ISBN Number: 3540676856, 9783540676850, 3540676864, 9783540676867

Pages Count: 300

PPI Count: 300

PDF Count: 1

Total Size: 440.83 MB

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Computer Vision — ECCV 2000: 6th European Conference on Computer Vision Dublin, Ireland, June 26–July 1, 2000 Proceedings, Part II
Author: David Vernon
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-67686-7
DOI: 10.1007/3-540-45053-X

Table of Contents:

  • Partitioned Sampling, Articulated Objects, and Interface-Quality Hand Tracking
  • Real-Time Tracking of Multiple Articulated Structures in Multiple Views
  • Pedestrian Detection from a Moving Vehicle
  • Vision-Based Guidance and Control of Robots in Projective Space
  • A General Method for Unsupervised Segmentation of Images Using a Multiscale Approach
  • Image Segmentation by Nonparametric Clustering Based on the Kolmogorov-Smirnov Distance
  • Euclidean Group Invariant Computation of Stochastic Completion Fields Using Shiftable-Twistable Functions
  • Bootstrap Initialization of Nonparametric Texture Models for Tracking
  • Quasi-Random Sampling for Condensation
  • Tracking Discontinuous Motion Using Bayesian Inference
  • Direction Control for an Active Docking Behaviour Based on the Rotational Component of Log-Polar Optic Flow
  • The Construction of 3 Dimensional Models Using an Active Computer Vision System
  • Significantly Different Textures: A Computational Model of Pre-attentive Texture Segmentation
  • Calibrating Parameters of Cost Functionals
  • Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach
  • Level Lines as Global Minimizers of Energy Functionals in Image Segmentation
  • A Probabilistic Interpretation of the Saliency Network
  • Layer Extraction with a Bayesian Model of Shapes
  • Model-Based Initialisation for Segmentation
  • Statistical Foreground Modelling for Object Localisation

Includes bibliographical references and indexes

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