Surface Texture Using Photometric Stereo Data: Classification and Direction of Illumination Detection-Reference-Cited by-同舟云学术

Surface Texture Using Photometric Stereo Data: Classification and Direction of Illumination Detection

Published:2007-11 Issue:2-3 Volume:29 Page:185-204
ISSN:0924-9907
Container-title:Journal of Mathematical Imaging and Vision
language:en
Short-container-title:J Math Imaging Vis

Author:

Barsky Svetlana,Petrou Maria

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Geometry and Topology,Computer Vision and Pattern Recognition,Condensed Matter Physics,Modelling and Simulation,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s10851-007-0031-8.pdf

Reference33 articles.

1. Barsky, S., Petrou, M.: The 4-source photometric stereo technique for 3-dimensional surfaces in the presence of highlights and shadows. IEEE Trans. Pattern Anal. Mach. Intell. 25(10), 1239–1252 (2003)

2. Chantler, M.J.: Why illuminant direction is fundamental to texture analysis. IEE Proc. Vis. Image Signal Process. 142(4), 199–206 (1995)

3. Chantler, M.J., McGunnigle, G., Penirschke, A., Petrou, M.: Estimating lighting direction and classifying textures. In: Rosin, P.L., Marshall, D. (eds.) BMVC2002, British Machine Vision Conference, Cardiff, 2–5 September 2002, vol. 2, pp. 737–746 (2002), ISBN 1-901725-19-7

4. Chantler, M.J., Schmidt, M., Petrou, M., McGunnigle, G.: The effect of illuminant rotation on texture filters: Lissajous’s ellipses. In: ECCV2002, European Conference on Computer Vision, August 2002, vol. III, pp. 289–303 (2002)

5. Chantler, M.J., Petrou, M., Penirsche, A., Schmidt, M., McGunnigle, G.: Classifying surface texture while simultaneously estimating illumination direction. Int. J. Comput. Vis. 62, 83–96 (2005)

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