Title :
Depth from defocus in presence of partial self occlusion
Author :
Bhasin, Sundeep Singh ; Chaudhuri, Subhasis
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Bombay, India
Abstract :
Contrary to the normal belief we show that self occlusion is present in any real aperture image and we present a method on how we can take care of the occlusion while recovering the depth using the defocus as the cue. The space-variant blur is modeled as an MRF and the MAP estimates are obtained for both the depth map and the everywhere focused intensity image. The blur kernel is adjusted in the regions where occlusion is present, particularly at the regions of discontinuities in the scene. The performance of the proposed algorithm is tested over synthetic data and the estimates are found to be better than the earlier schemes where such subtle effects were ignored
Keywords :
image restoration; MAP estimates; MRF; depth from defocus; recovering; self occlusion; space-variant blur; Apertures; Deconvolution; Design for disassembly; Filtering; Focusing; Frequency domain analysis; Frequency estimation; Kernel; Layout; Testing;
Conference_Titel :
Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7695-1143-0
DOI :
10.1109/ICCV.2001.937556