Parallel Vision Algorithms
Abstract
The objective of this project is to develop and implement, on highly parallel computers, vision algorithms that combine stereo, texture, and multi- resolution techniques for determining local surface orientation and depth. Such algorithms will immediately serve as front-ends for autonomous land vehicle navigation systems. During the first year of the project, efforts have concentrated on two fronts. First, developing and testing the parallel programming environment that will be used to develop, implement and test our parallel vision algorithms. Second, developing and testing multi-resolution stereo, and texture algorithms. This report describes the status and progress on these two fronts. We describe first the programming environment developed, and mapping scheme that allows efficient use of the connection machine for pyramid (multi-resolution) algorithms. Second, we present algorithms and test results for multi-resolution stereo, and texture algorithms. Also the initial results of the starting efforts of integrating stereo and texture algorithms are presented. Keywords: Computer vision, Artificial intelligence, Image understanding, Multi- resolution, Stereo, Texture, Strategy computing.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 1987
- Accession Number
- ADA208271
Entities
People
- Hussein A. Ibrahim
- John R. Kender
- Lisa G. Brown
Organizations
- Columbia University