HELICAL SCAN AND COMPUTER GENERATED IMAGERY FOR ROBOTIC VISION

DETERMINE THE FEASIBILITY AND SYSTEM METHODOLOGY OF USING HELICAL SCAN IN STEREOSCOPIC ROBOT VISION TO REPLICATE HUMAN VISION WITH HIGH ACUITY IN THE FOVEAL CENTRALIS. THE RESULTING VIDEO FROM EACH ROBOTIC CAMERA "EYE" HAS THE HIGHEST PICK-UP TUBE RESOLUTION POSSIBLE AT THE CENTER AND A FALLING OFF IN ACUITY TO THE PERIPHERY OF THE FIELD-OF-VIEW. A TWO-COLOR FIELD SEQUENTIAL SYSTEM IS PROPOSED. THE VIDEO IS DIGITAL AND PLACED IN A FRAME BUFFER, SUPERIMPOSED ON THE HELICAL FORMAT OF COMPUTER GENERATED IMAGERY (CGI). THE DIFFERENCE IMAGE IS PROCESSED TO DRIVE THE ROBOT. THE CGI IS THE SCENARIO OF THE TASK THE ROBOT IS TO PERFORM, AND THE SYSTEM KEEPS THE ROBOT "ONCOURSE" WITH THE TASK. THE DATA BASE MODEL FOR THE CGI CAN BE ALTERED ON-LINE FROM OPERATOR OR OUTPUT OF ARTIFICIAL INTELLIGENCE IF THE TASK IS TO DEVIATE FROM A PRE-ORDAINED OR "CANNED" PROGRAM. THE SYNERGY OF HELICAL SCAN AND CGI IS A TECHNICAL ADVANTAGE BY CONCENTRATING THE PERCEIVED INFORMATION IN THE ROBOT PICK-UP RASTER AND ALSO CONCENTRATING THE IMAGE PROCESSING OF THE COMPUTER IN THE "BUSY" AREAS OF THE SCENE. A HIGH EFFICIENCY IS GAINED IN AN INTELLIGENT MACHINE BY THIS MIMICRY OF HUMAN VISUAL SENSING.