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Biologically motivated computer vision : First IEEE International Workshop BMCV 2000, Seoul, Korea, May 2000 : | BMCV 2000 (2000 : Seoul, Korea), Lee, S.-W. (Seong-whan), Bülthoff, Heinrich H, Poggio, Tomaso

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Biologically motivated computer vision : First IEEE International Workshop BMCV 2000, Seoul, Korea, May 2000 :

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Author: BMCV 2000 (2000 : Seoul, Korea), Lee, S.-W. (Seong-whan), Bülthoff, Heinrich H, Poggio, Tomaso

Added by: sketch

Added Date: 2015-12-30

Publication Date: 2000

Language: eng

Subjects: Vision, Computer vision, Visual cortex, Neural networks (Computer science)

Publishers: Berlin ; New York : Springer

Collections: journals contributions, journals

ISBN Number: 3540675604

Pages Count: 300

PPI Count: 300

PDF Count: 1

Total Size: 326.98 MB

PDF Size: 16.41 MB

Extensions: djvu, gif, pdf, gz, zip, torrent, log, mrc

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Downloads: 894

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Total Files: 18

Media Type: texts

Description

Biologically Motivated Computer Vision: First IEEE International Workshop, BMCV 2000 Seoul, Korea, May 15–17, 2000 Proceedings
Author: Seong-Whan Lee, Heinrich H. Bülthoff, Tomaso Poggio
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-67560-0
DOI: 10.1007/3-540-45482-9

Table of Contents:

  • CBF: A New Framework for Object Categorization in Cortex
  • The Perception of Spatial Layout in a Virtual World
  • Towards a Computational Model for Object Recognition in IT Cortex
  • Straight Line Detection as an Optimization Problem: An Approach Motivated by the Jumping Spider Visual System
  • Factorial Code Representation of Faces for Recognition
  • Distinctive Features Should Be Learned
  • Moving Object Segmentation Based on Human Visual Sensitivity
  • Object Classification Using a Fragment-Based Representation
  • Confrontation of Retinal Adaptation Model with Key Features of Psychophysical Gain Behavior Dynamics
  • Polarization-Based Orientation in a Natural Environment
  • Computation Model of Eye Movement in Reading Using Foveated Vision
  • New Eyes for Shape and Motion Estimation
  • Top-Down Attention Control at Feature Space for Robust Pattern Recognition
  • A Model for Visual Camouflage Breaking
  • Development of a Biologically Inspired Real-Time Visual Attention System
  • Real-Time Visual Tracking Insensitive to Three-Dimensional Rotation of Objects
  • Heading Perception and Moving Objects
  • Dynamic Vergence Using Disparity Flux
  • Computing in Cortical Columns: curve inference and stereo correspondence
  • Active Vision from Multiple Cues

Includes bibliographical references and index
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