Type of Document Master's Thesis Author Subramanian, Anbumani Author's Email Address anbumani@vt.edu URN etd-05072001-130335 Title Image Segmentation and Range Estimation Using a Moving-aperture Lens Degree Master of Science Department Electrical and Computer Engineering Advisory Committee
Advisor Name Title Abbott, A. Lynn Committee Chair Bell, Amy E. Committee Member Ferrari, Leonard A. Committee Member Keywords
- range estimation
- motion parallax
- optical flow
- Image segmentation
- motion segmentation
Date of Defense 2001-04-24 Availability unrestricted Abstract Given 2D images, it still remains a big challenge in the field ofcomputer vision to group the image points into logical objects
(segmentation) and to determine the locations in the scene (range
estimation). Despite the decades of research, a single solution
is yet to be found. Through our research we have demonstrated
that a possible solution is to use moving aperture lens. This 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. Our
novel method employs optical flow techniques to an image sequence,
captured using a video camera with a moving aperture lens. For a
stationary scene, optical flow magnitudes and direction are
directly related to the three-dimensional object distance and
location from the observer. Exploiting this information, we have
successfully extracted objects at different depths and estimated
the locations of objects in the scene, with respect to the plane
of focus. Our work therefore demonstrates an ability for
passive range estimation, without emitting any energy in an
environment. Other potential applications include video
compression, 3D video broadcast, teleconferencing and autonomous
vehicle navigation.
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