Tensor voting a perceptual organization approach to computer vision and machine learning /

This lecture presents research on a general framework for perceptual organization that was conducted mainly at the Institute for Robotics and Intelligent Systems of the University of Southern California. It is not written as a historical recount of the work, since the sequence of the presentation is...

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Bibliographic Details
Main Author: Mordohai, Philippos.
Other Authors: Medioni, Gérard.
Format: Electronic
Language:English
Published: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2006.
Edition:1st ed.
Series:Synthesis lectures on image, video, and multimedia processing ; #8.
Subjects:
Online Access:Abstract with links to full text
Table of Contents:
  • Introduction
  • Tensor voting
  • Stereo vision from a perceptual organization perspective
  • Tensor voting in ND
  • Dimensionality estimation manifold learning and function approximation
  • Boundary inference
  • Figure completion
  • Conclusions
  • References.