Title :
Seeing beyond occlusions (and other marvels of a finite lens aperture)
Author :
Favaro, P. ; Soatto, S.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., St. Louis, MO, USA
Abstract :
We present a novel algorithm to reconstruct the geometry and photometry of a scene with occlusions from a collection of defocused images. The presence of a finite lens aperture allows us to recover portions of the scene that would be occluded in a pin-hole projection, thus "uncovering" the occlusion. We estimate the shape of each object (a surface, including the occluding boundaries), and its radiance (a positive function defined on the surface, including portions that are occluded by other objects).
Keywords :
brightness; computational geometry; computer vision; edge detection; hidden feature removal; image enhancement; image reconstruction; photometry; computer vision; defocused image; finite lens aperture; image processing; object shape estimation; occluding boundary; occlusion; pin-hole projection; radiance; scene geometry reconstruction; scene photometry reconstruction; scene portion recovery; Apertures; Cameras; Computational geometry; Computer vision; Humans; Image generation; Layout; Lenses; Shape measurement; Solid modeling;
Conference_Titel :
Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on
Print_ISBN :
0-7695-1900-8
DOI :
10.1109/CVPR.2003.1211519
