Analyzing Natural Images, A Computational Theory of Texture Vision.
Abstract
A theory of early and intermediate visual information processing is given, which extends to about the level of figure-ground separation. Its core is a computational theory of texture vision. Evidence obtained from perceptual and from computational experiments is adduced in its support. A consequence of the theory is that high-level knowledge about the world influences visual processing later and in a different way from that currently practiced in machine vision.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1975
- Accession Number
- ADA013257
Entities
People
- David Marr
Organizations
- Massachusetts Institute of Technology