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Published Articles >> Table of Contents >> Abstract
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06)
pp. 1885-1892
A Multi-Channel Algorithm for Edge Detection Under Varying Lighting
Wei Xu, University of Colorado at Boulder
Michael Jenkin, York University, Canada
Yves Lesperance, York University, Canada
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2006.33
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| Abstract |
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In vision-based autonomous spacecraft docking multiple views of scene structure captured with the same camera and scene geometry is available under different lighting conditions. These "multiple-exposure" images must be processed to localize visual features to compute the pose of the target object. This paper describes a robust multi-channel edge detection algorithm that localizes the structure of the target object from the local gradient distribution computed over these multiple-exposure images. This approach reduces the effect of the illumination variation including the effect of shadow edges over the use of a single image. Experiments demonstrate that this approach has a lower false detection rate than the average response of the Canny edge detector applied to the individual images separately.
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 Additional Information
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Citation:
Wei Xu, Michael Jenkin, Yves Lesperance,
"A Multi-Channel Algorithm for Edge Detection Under Varying Lighting,"
cvpr,
pp. 1885-1892,
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06),
2006
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