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2000 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'00) - Volume 1
Histogram-Based Object Recognition Using Shape-from-Shading
Hilton Head, South Carolina
June 13-June 15
ISBN: 0-7695-0662-3
Philip L. Worthington, University of York
Edwin R. Hancock, University of York
This paper presents an experimental study of the problem of object recognition using surface attributes delivered by shape-from-shading. We focus our attention on histogram-based representations. Several surface attributes are considered. These include slant and tilt angles, mean and Gaussian curvature, and, shape-index and curvedness. Our study reveals that recognition rates of 98% are achievable under controlled lighting conditions. When there is significant illumination variation then recognition rates of 80% are achievable.
Citation:
Philip L. Worthington, Edwin R. Hancock, "Histogram-Based Object Recognition Using Shape-from-Shading," cvpr, vol. 1, pp.1643, 2000 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'00) - Volume 1, 2000
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