Histogram-based object recognition using shape-from-shading

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 curvat...

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Bibliographic Details
Published inProceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662) Vol. 1; pp. 643 - 648 vol.1
Main Authors Worthington, P.L., Hancock, E.R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2000
Subjects
Computer science
Electrical capacitance tomography
Equations
Histograms
Image recognition
Lighting control
Object recognition
Psychology
Shape
Surface topography
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Summary: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.
ISBN:9780769506623
0769506623
ISSN:1063-6919
DOI:10.1109/CVPR.2000.855880