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Directionality Measurement and Illumination Estimation of 3D Surface Textures by Using Mojette Transform
 

Summary: Directionality Measurement and Illumination Estimation of 3D Surface
Textures by Using Mojette Transform
Peng Jia Junyu Dong Lin Qi
Computer Science Department, Ocean University of China
dongjunyu@ouc.edu.cn
Florent Autrusseau
IRCCyN-IVC, UMR CNRS 6597, Ecole polytechnique University of Nantes
Rue Christian Pauc, La Chantrerie, BP50609, 44306 NANTES, CEDEX 3
Florent.Autrusseau@Polytech.univ-nantes.fr
Abstract
This paper presents a new approach to measure tex-
ture directions and estimate illumination tilt angle of
3D surface textures by using mojette transform. Fea-
ture vectors are generated from variances of 72 mojette
transform projections with different projection angles.
The measured texture directions are compared with hu-
man perceptual judgement. Furthermore, we estimate
illumination tilt angles by minimizing the Euclidean dis-
tance of the feature vector between the test image and
the training sets. Experimental results show the effec-

  

Source: Autrusseau, Florent - IRCCyN-IVC, Ecole Polytechnique, Universite de Nantes

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences