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Proceedings Paper

Analysis of optical flow estimation using epipolar plane images
Author(s): Ramesh M. Rangachar; Tsai Hong Hong; Martin Herman; Randall L. Luck
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Paper Abstract

Image flow the apparent motion of brightness patterns on the image plane can provide important visual information such as distance shape surface orientation and boundaries. It can be determined by either feature tracking or spatio-temporal analysis. We consider spatio-temporal methods and show how differential range can be estimated from time-space imagery. We generate a time-space image by considering only one scan line of the image obtained from a camera moving in the horizontal direction at each time interval. At the next instant of time we shift the previous line up by one pixel and obtain another line from the image. We continue the procedure to obtain a time-space image where each horizontal line represents the spatial relationship of the pixels and each vertical line the temporal relationship. Each feature along the horizontal scan line generates an edge in the time-space image the slope of which depends upon the distance of the feature from the camera. We apply two mutually perpendicular edge operators to the time-space image and determine the slope of each edge. We show that this corresponds to optical flow. We use the result to obtain the differential range and show how this can be implemented on the Pipelined Image Processing Engine (PIPE). We use a simple technique to calibrate the camera and show how the depth can be obtained from optical flow. We provide a statistical analysis of the

Paper Details

Date Published: 1 February 1991
PDF: 10 pages
Proc. SPIE 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods, (1 February 1991); doi: 10.1117/12.25230
Show Author Affiliations
Ramesh M. Rangachar, National Institute of Standards and Technology and Univ. of (United States)
Tsai Hong Hong, National Institute of Standards and Technology and American (United States)
Martin Herman, National Institute of Standards and Technology (United States)
Randall L. Luck, Aspex, Inc. (United States)


Published in SPIE Proceedings Vol. 1382:
Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods
David P. Casasent, Editor(s)

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