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Rough surface classification using point statistics from photometric stereo

delete2000-06-01
delete22
PRE
AI
G
G. McGunnigle *
M
Mike J. Chantler
DOI：10.1016/S0167-8655(00)00024-6delete
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Abstract

Abstract

En 中文
Rough surfaces can be classified by the point statistics of their derivative fields, estimated using photometric stereo. Such a scheme is proposed and found to be more accurate and robust than image-intensity-based classification. It is particularly effective when applied to directional surfaces, even under rotation. The scheme is therefore robust and economic - suitable for many applications and worthy of further investigation. (C) 2000 Elsevier Science B.V. All rights reserved.
Keywords:
surface classification
texture analysis
rotation invariance
photometric stereo
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Pattern Recognition Letters cover
Pattern Recognition Letters
IF:
3.3
Papers:
7.8K
Citations:
1.6W

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