Abstract

We present a novel combination photometric stereo which can estimate surface normals precisely even for images including shadows and specular reflection. We can use photometric stereo if there are more than three input images. Therefore we can employ photometric stereo with $$_n C_3$$ combinations for n input images. We make 3D distribution of albedos and surface normals estimated from pixel intensities of $$_n C_3$$ pixel combinations. In the distribution, we define a novel value “compactness” to distinguish pixels which are included in neither shadows nor specular reflection from pixels which are included in shadows or specular reflection. Through experimental results, we demonstrate that the proposed method can estimate surface normals in the presence of shadows and specular reflection. Moreover the proposed method is superior to previous works in better accuracy.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.