Segmentation and range sensing using a moving-aperture lens

Authors:
Anbumani Subramanian;Lakshmi R. Iyer;A. Lynn Abbott;Amy E. Bell
Affiliations:
Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA;Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA;Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA;Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA
Venue:
Machine Vision and Applications
Year:
2003

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Abstract

The use of a novel motorized lens to perform segmentation of image sequences is presented in this paper. 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 the distance from the plane of focus. For a stationary scene, optical flow magnitudes are therefore directly related to three-dimensional object distance from the observer. We describe a segmentation procedure that exploits these controlled observer movements and present experimental results that demonstrate the successful extraction of objects at different depths. Potential applications of our approach include image compositing, teleconferencing, and range estimation.