Title :
Segmentation and range sensing using a moving-aperture lens
Author :
Subramanian, Anbumani ; Iyer, Lakshmi R. ; Abbott, A. Lynn ; Bell, Amy E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Virginia Tech., Blacksburg, VA, USA
Abstract :
This paper is concerned with the use of a novel motorized lens to perform segmentation of image sequences. The lens has the effect of introducing small, repeating movements of the camera center, so that objects appear to translate in the image by an amount that depends on distance from the plane of focus. For a stationary scene, optical flow magnitudes and direction are therefore directly related to three-dimensional object distance from the observer. We describe a segmentation-procedure that exploits these controlled observer movements, and we present experimental results that demonstrate the successful extraction of objects at different depths. Potential applications of this approach include video compression, compositing, and passive range sensing
Keywords :
data compression; distance measurement; image segmentation; image sequences; video coding; image segmentation; image sequences; motorized lens; moving-aperture lens; optical flow magnitudes; passive range sensing; range sensing; three-dimensional object distance; video compression; Cameras; Image edge detection; Image motion analysis; Image segmentation; Image sequences; Layout; Lenses; Optical computing; Optical sensors; Video compression;
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.2001.937667