Image Understanding Research at the University of Massachusetts,
Abstract
The major focus of the DARPA funded research program revolves around issues of dynamic image processing. The authors have been examining techniques for recovery of environmental information, such as depth maps of the visible surfaces, from a sequence of images produced by a sensor in motion. Algorithms that appear robust have been developed for constrained sensor motion such as pure translation, pure rotation, and motion constrained to a plane. Interesting algorithms with promising preliminary experimental results have also been developed for the case of general sensor motion in images where there are several significant depth discontinuities, and for scenes with multiple independently moving objects. A general hierarchical parallel algorithm for efficient feature matching has also been developed for applications of motion, stereo, and image registration. In addition, they have been designing a highly parallel architecture that integrates aspects of both parallel array processing and associative memories for real-time implementation of motion algorithms. Finally, there has been a continuation of the VISIONS static image interpretation project, with interesting results in top-down processing of a set of complex outdoor house scenes. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1983
- Accession Number
- ADP001192
Entities
People
- Allen R. Hanson
- Edward M. Riseman
Organizations
- University of Massachusetts Amherst