SBIR/STTR Research Award

ROBOT VISION SYSTEMS BASED ON LOG-POLAR IMAGE PLANE COORDINATES

Award identifier da90572ef18eeef620317572c0e249ed1c9ac445e9a12cef0cf555ccd684e3a1Awarding agency National Science Foundation

Award amount

$249,962

Program and phase

SBIR · Phase II

Award year

1992

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Transitions Research Corp.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

LOG-POLAR COORDINATES HAVE RECENTLY BEEN SHOWN TO POSSESS SIGNIFICANT COMPUTATIONAL ADVANTAGES OVER TRADITIONAL CARTESIAN COORDINATES IN EXPRESSING TRANSFORMATIONS ASSOCIATED WITH DYNAMIC 3-D PERSPECTIVE IMAGERY. REDUCED PIXEL COUNT AND REDUCTION IN CALCULATIONS PER PIXEL SUGGEST THE FEASIBILITY OF COMPACT, HIGH-PERFORMANCE SYSTEMS NOT POSSIBLE WITH CARTESIAN SYSTEMS. RECENT THEORETICAL DEVELOPMENTS INCLUDE THE FORMULATION OF NEW ALGORITHMS FOR VISUAL TRACKING AND DEPTH MAPPING. RECENT HARDWARE DEVELOPMENT INCLUDE THE CONSTRUCTION OF VIDEO RATE REMAPPERS WHICH CONVERT CARTESIAN IMAGERY TO LOG-POLAR COORDINATES AND THE WORLD'S FIRST CCD CHIP TESSELLATED IN LOG-POLAR COORDINATES. THE TIME HAS COME TO INTEGRATE THESE DEVELOPMENTS IN THE DESIGN OF A NEW TYPE OF ROBOT VISION SYSTEM. PHASE I WILL DESIGN A ROBOT VISION TESTBED WHICH INTEGRATES THE NEW ALGORITHMS IN THE PERFORMANCE OF USEFUL VISUAL FUNCTIONS SUCH AS DYNAMIC DEPTH MAPPING AND CAMERA/VEHICLE MOTION CONTROL. PHASE I METHODS INCLUDE MATHEMATICS, SIMULATION AND SYSTEM DESIGN. PHASE II INCLUDES CONSTRUCTION OF A PROTOTYPE SYSTEM WHICH ROBUSTLY AND EFFICIENTLY PERFORMS SUCH FUNCTIONS. ULTIMATE BENEFITS INCLUDE ROBOT VISION SYSTEMS THREE ORDERS OF MAGNITUDE MORE COMPACT THAN THOSE POSSIBLE USING CARTESIAN COORDINATES, OPENING THE DOOR TO COST-EFFECTIVE COMMERCIAL ROBOTS WITH POWERFUL VISION SYSTEMS OCCUPYING ONLY A FEW CUBIC INCHES.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.