Stereo and Eye Movement.
Abstract
This document describe a method to solve the stereo correspondence using controlled eye (or camera) movements. These eye-movements essentially supply additional image-frames which can be used to constrain the stereo matching. Because the eye-movements are small, traditional methods of stereo with multiple frame will not work. The authors develop an alternative approach using a systematic analysis to define a probability distribution for the errors. This matching strategy then matches the most probable points first, thereby reducing the ambiguity for the remaining matches this algorithms with several examples. Keywords: Error analysis, Artificial intelligence.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1988
- Accession Number
- ADA193588
Entities
People
- Alan Yuille
- Davi Geiger
Organizations
- Massachusetts Institute of Technology