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Surface Reconstruction from Multiple Images Filtering Non Lambert Regions
Date
2009-09-10
Author
BÜYÜATALAY, Soner
BİRGÜL, ÖZLEM
Halıcı, Uğur
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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.
Subject Keywords
Photometric stereo
,
Lambert reflection model
,
Filtered photometric stereo
URI
https://hdl.handle.net/11511/44238
DOI
https://doi.org/10.1109/icip.2009.5413906
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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S. BÜYÜATALAY, Ö. BİRGÜL, and U. Halıcı, “Surface Reconstruction from Multiple Images Filtering Non Lambert Regions,” 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/44238.