Title page for ETD etd-05072001-130335


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 of

computer 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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