Computer vision, ECCV 2000 : 6th European Conference on Computer Vision, Dublin, Ireland, June 26 July 1, 2000
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
PDF Size: 31.59 MB
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Last Modified: 2022-03-09 08:42:57
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Description
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