CASEformer — A Transformer-Based Projection Photometric Compensation Network

Author:

ZHANG Yuqiang1,YANG Huamin1,HAN Cheng1,ZHANG Chao1,ZHU Chaoran2

Affiliation:

1. School of Computer Science and Technology, Changchun University of Science and Technology

2. College of Computer Science and Technology, Jilin University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Reference29 articles.

1. [1] M. Ashdown, T. Okabe, I. Sato, and Y. Sato, “Robust content-dependent photometric projector compensation,” 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06), pp.6-6, IEEE, 2006. 10.1109/cvprw.2006.172

2. [2] A. Madi and D. Ziou, “Color constancy for visual compensation of projector displayed image,” Displays, vol.35, no.1, pp.6-17, 2014. 10.1016/j.displa.2013.10.003

3. [3] B. Huang and H. Ling, “End-to-end projector photometric compensation,” Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.6810-6819, 2019.

4. [4] B. Huang, T. Sun, and H. Ling, “End-to-end full projector compensation,” IEEE Trans. Pattern Anal. Mach. Intell., vol.44, no.6, pp.2953-2967, 2021. 10.1109/tpami.2021.3050124

5. [5] S. Nayar, “A projection system with radiometric compensation for screen imperfections,” ICCV Workshop on Projector-Camera Systems (PROCAMS), 2003, 2003.

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