Iterative Photometric Stereo with Shadow and Specular Region Detection for 3D Reconstruction

Date

2009-04-11

Author

BUYUKATALAY, 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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Photometric stereo is a 3D reconstruction algorithm that uses the images of an object with different light conditions and its performance is affected by the shades and specular regions in the images. Especially, the use of Lambert reflectance model results in errors in the reconstructed surface normals. In this study an iterative approach was used to generate masks corresponding to these problematic regions and the surface normals were reconstructed using a Lambert based algorithm that excludes these regions in calculations. A simulation model with varying albedo on a half sphere was constructed and the results for masked and non-masked cases were compared. The total error in calculated surface normals was reduced to 1.71% from 11.51% when the iterative photometric stereo algorithm was used.

Subject Keywords

Photometry , Stereo İmage Processing , Image Reconstruction , Surface Reconstruction , Iterative Algorithms , Reconstruction Algorithms , Reflectivity , Iterative Methods

URI

https://hdl.handle.net/11511/48220

DOI

https://doi.org/10.1109/siu.2009.5136393

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

S. BUYUKATALAY, Ö. BİRGÜL, and U. Halıcı, “Iterative Photometric Stereo with Shadow and Specular Region Detection for 3D Reconstruction,” 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48220.