Self-occlusion Detection Approach Based on Depth Image
Considering the self-occlusion phenomenon of visual object and in order to provide better basis for defining and avoiding this phenomenon,an approach based on depth image for detecting self-occlusion is proposed,which only by analyzing the change feature of mean curvature value in depth image and combining with two thresholds judgment. To avoid the calculation complexity of mean curvature value,the improved discrete orthogonal polynomials local surface fitting method is adopted. Then by analyzing the mean curvature value of each image points and combining with curvature threshold,the self-occlusion candidate point set is extracted,in which each point has different curvature sign with its eight neighborhood points. Finally,according to fact that the depth is discontinuous between the candidate point and other points in the window in which the candidate point is its center,the self-occlusion is detected by using threshold method again. Experimental results showed that the proposed approach can detect the self-occlusion phenomenon and obtain occlusion boundary effectively.