计算摄像学:成像模型理论与深度学习实践
上QQ阅读APP看本书,新人免费读10天
设备和账号都新为新人

本章参考文献

[1]GKIOULEKAS I. CMU 15-463: computational photography[EB/OL].[2022-09-01]. http://graphics.cs.cmu.edu/courses/15-463/.

[2]NG R, LEVOY M, BRÉDIF M, et al. Light field photography with a hand-held plenoptic camera: CTSR 2005-02[R]. Stanford: Stanford University Computer Science Tech Report, 2005.

[3]HUANG T, ZHENG Y, YU Z, et al. 1000x faster camera and machine vision with ordinary devices[J]. Engineering, 2022: 1-10.

[4]WETZSTEIN G. Stanford EE367/CS448I: Computational imaging and display[EB/OL].[2022-09-02]. http://stanford.edu/class/ee367/.

[5]NAYAR S. First principles of computer vision[EB/OL].[2022-09-03]. https://fpcv.cs.columbia.edu/.

[6]SZELISKI R. Computer vision: algorithms and applications[M]. 2nd ed. Cham: Springer, 2022.

[7]IKEUCHI K. Computer vision: a reference guide[M]. Boston: Springer, 2014.

[8]BHANDARI A, KADAMBI A, RASKAR R. Computational imaging[M]. Cambridge: MIT Press, 2022.

[9]戴琼海,索津莉,季向阳,等.计算摄像学:全光视觉信息的计算采集[M].北京:清华大学出版社,2016.


[1]本书统一将Computational Photography译作“计算摄像”,“计算摄影”是另一种常见的中文翻译。