Surface reconstruction from multiple images filtering non-Lambert regions

Authors:
Soner Büyükatalay;Özlem Birgül;Uǧur Halici
Affiliations:
Computer Vision and Intelligent Systems Research Lab., METU Electrical and Electronics Engineering and TÜBİTAK UZAY;TÜBİTAK UZAY;Computer Vision and Intelligent Systems Research Lab., METU Electrical and Electronics Engineering
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

In this study a new algorithm for 3D surface reconstruction from multiple images using a modified photometric stereo method is proposed and tested. The new algorithm, Filtered Lambert Photometric Stereo (FLPS), determines the non-Lambert pixels in the available images using a linearity test and constructs filtering masks for each image that corresponds to specular and self or cast shadow regions. Then, the photometric stereo is applied after eliminating the points in these masks. Tests carried out on synthetic images show that LPS on filtered images is a feasible solution when more than 4 images are available.