Surface Reconstruction from Multiple Images Filtering Non Lambert Regions

Date

2009-09-10

Author

BÜYÜATALAY, Soner
BİRGÜL, ÖZLEM
Halıcı, Uğur

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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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Citation Formats

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.