Feature point distribution of the surface light field-measured oil painting similarity identification-Reference-Cited by-同舟云学术

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Feature point distribution of the surface light field-measured oil painting similarity identification

Published:2023 Issue:10 Volume:28 Page:3123-3135
ISSN:1006-8961
Container-title:Journal of Image and Graphics
language:en
Short-container-title:

Author:

Zhaolin Xiao, ,Tongxin Sun,Jingrui Zhang,Haiyan Jin

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

Reference22 articles.

1. Bock H H. 2007. Clustering methods:a history of K-Means algorithms//Brito P,Cucumel G,Bertrand P and Carvalho F,eds. Selected Contributions in Data Analysis and Classification. Berlin,Heidelberg:Springer:161-172[DOI:10.1007/978-3-540-73560-1_15]

2. Dansereau D G,Girod B and Wetzstein G. 2019. LiFF:light field features in scale and depth//Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Long Beach, USA:IEEE:8034-8043[DOI:10.1109/CVPR.2019.00823]

3. Dansereau D G,Pizarro O and Williams S B. 2013. Decoding,calibration and rectification for lenselet-based plenoptic cameras//Proceedings of 2013 IEEE Conference on Computer Vision and Pattern Recognition. Portland, USA:IEEE:1027-1034[DOI:10.1109/CVPR.2013.137]

4. Fachada S,Bonatto D,Teratani M and Lafruit G. 2021. Light field rendering for non-lambertian objects. Electronic Imaging,33(2):54-1-54-8[DOI:10.2352/ISSN.2470-1173.2021.2.SDA-054]

5. Gershun A. 1939. The light field. Journal of Mathematics and Physics, 18 (1/4):51-151[DOI:10.1002/sapm193918151]

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