FAST SIX DEGREE OF FREEDOM OBJECT RECOGNITION ALGORITHM

PROJECT GOAL WILL BE TO DEVELOP A FAST ALGORITHM FOR VISUAL RECOGNITION OF OBJECTS IN LOW CONTRAST LIGHTING, PARTIAL VIEW AND SIX DEGREES OF FREEDOM. THE ALGORITHM WILL BE OF THE LOCAL FEATURE FOCUS TYPE. TO DEVELOP THE ALGORITHM I WILL NEED TO ACHIEVE THE FOLLOWING OBJECTIVES: 1. RULES FOR SELECTING IMAGE FEATURE CLUSTERS, 2. RULES FOR IMAGE FEATURE CLUSTER PARAMETER EXTRACTION, 3. MATCH TEST TECHNIQUE TO DETERMINE IF AN IMAGE CLUSTER IS A PROJECTION OF AN OBJECT CLUSTER AND IF SO, THE RELATIVE ORIENTATION BETWEEN IMAGE CLUSTER AND OBJECT CLUSTER, 4. TABLE LOOKUP TECHNIQUE TO REDUCE THE NUMBER OF MATCH TESTS AND, 5. IMAGE CLUSTER PROPERTY TABLE GENERATION PROGRAM.