A Novel Approach for Object Detection from Scrambled Background
Kehua Guo · 2010
A novel approach is introduced to detect object from scrambled background. Firstly, Point-pair Set is constructed by filtrating points with similar curvature; then similar Segment-pair Set is established through searching similar segment skeleton in Point-pair Set; finally, optimal transformation is selected from the Segment-pair Set using scoring function to determine the optimal matching. Experiments indicate an encouraging detection efficiency, speed and running time complexity to irregular shapes.