MASR-PSN: a low-resolution photometric stereo images-relevant deep learning model for high-resolution surface normal reconstruction-Reference-Cited by-同舟云学术

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MASR-PSN: a low-resolution photometric stereo images-relevant deep learning model for high-resolution surface normal reconstruction

Published:2023 Issue:7 Volume:28 Page:2120-2134
ISSN:1006-8961
Container-title:Journal of Image and Graphics
language:en
Short-container-title:

Author:

Yakun Ju, ,Muwei Jian,Yuan Rao,Shu Zhang,Feng Gao,Junyu Dong

Publisher

Aerospace Information Research Institute, Chinese Academy of Sciences

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Human-Computer Interaction

Reference34 articles.

1. Alldrin N,Zickler T and Kriegman D. 2008. Photometric stereo with non-parametric and spatially-varying reflectance//Proceedings of 2008 Conference on Computer Vision and Pattern Recognition. Anchorage, USA:IEEE:1-8[DOI:10.1109/CVPR. 2008. 4587656]

2. Chen G Y,Han K and Wong K Y K. 2018. PS-FCN:a flexible learning framework for photometric stereo//Proceedings of the 15th European Conference on Computer Vision. Munich,Germany:Springer:3-19[DOI:10.1007/978-3-030-01240-3_1]

3. Chen G Y,Han K,Shi B X,Matsushita Y and Wong K Y K. 2020. Deep photometric stereo for non-Lambertian surfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence,44(1):129-142.[DOI:10.1109/TPAMI.2020.3005397]

4. Chung H S and Jia J Y. 2008. Efficient photometric stereo on glossy surfaces with wide specular lobes//Proceedings of 2008 Conference on Computer Vision and Pattern Recognition. Anchorage, USA:IEEE:1-8[DOI:10.1109/CVPR.2008.4587771]

5. Einarsson P,Chabert C F,Jones A,Ma W C,Lamond B,Hawkins T, Bolas M,Sylwan S and Debevec P. 2006. Relighting human locomotion with flowed reflectance fields//Proceedings of the 17th Eurographics Conference on Rendering Techniques. Nicosia,Cyprus:Eurographics Association:183-194

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