MOTION IS AN IMPORTANT COMPONENT OF THE OVERALL IMAGE UNDERSTANDING (IU) PROBLEM WHICH CAN BE USED TO DIRECTLY DERIVE BOTH SURFACE DEPTH AND ORIENTATION.

Award Information
Agency: Department of Energy
Branch: N/A
Contract: N/A
Agency Tracking Number: 3444
Amount: $50,000.00
Phase: Phase I
Program: SBIR
Awards Year: 1986
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
918 East 900 South, Salt Lake City, UT, 84105
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 DR. ALLEN R. GRAHN
 PRINCIPAL INVESTIGATOR
 (801) 359-0402
Business Contact
Phone: () -
Research Institution
N/A
Abstract
MOTION IS AN IMPORTANT COMPONENT OF THE OVERALL IMAGE UNDERSTANDING (IU) PROBLEM WHICH CAN BE USED TO DIRECTLY DERIVE BOTH SURFACE DEPTH AND ORIENTATION. IN ORDER TO EXTRACT DEPTH FROM MOTION IN REAL-TIME, SPECIALIZED HARDWAREWILL BE REQUIRED. THE OVERALL OBJECTIVE OF THIS PROJECT IS TO USE VERY LARGE SCALE INTEGRATION (VLSI) AND ARTIFICIAL INTELLIGENCE (AI) TO IMPLEMENT A REAL-TIME DEPTH PERCEPTION ALGORITHM. THE ABILITY TO EXTRACT DEPTH IN REAL TIME FROM ASCENE WILL ENHANCE THE CAPABILITIES OF CURRENT IU SYSTEMS. THIS RESEARCH WILL FIND APPLICATION IN MANY AREAS INCLUDING MOBILE ROBOTS FOR HOSTILE ENVIRONMENTS, INDUSTRIAL AUTOMATION AND MILITARY APPLICATIONS.

* Information listed above is at the time of submission. *

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