Title :
Analysis of 2-D occlusion by subtracting out
Author :
Ullmann, Julian R.
Author_Institution :
Dept. of Comput., King´´s Coll., London, UK
fDate :
4/1/1992 12:00:00 AM
Abstract :
A provably correct polynomial-time algorithm for complete systematic analysis of occlusion in synthetically generated noise-free pictures of 2-D objects is introduced. The algorithm first recognizes occluding objects and then ignores the mismatch with pixels in occluding objects while recognizing occluded objects by template matching
Keywords :
computational complexity; computer vision; 2-D objects; 2-D occlusion; complete systematic analysis; computer vision; occluded objects; polynomial-time algorithm; subtracting out; synthetically generated noise-free pictures; template matching; Algorithm design and analysis; Computer vision; Costs; Image analysis; Image matching; Image segmentation; Noise generators; Object recognition; Pixel; Polynomials;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
