Multi-band photometric stereo using random sampling of channels and pixels

This paper estimates the surface normal of a multi-colored object under multi-spectral lighting. This is a difficult problem since the albedo is different for each pixel and each channel. We solve this problem by sampling some pixels randomly. If we randomly sample neighboring pixels, the probability of picking the same albedo pixels may be high. Therefore, if the sampled pixels all have the same albedo, we can determine the surface normal uniquely. To demonstrate the effectiveness of this study, a measurement device with seven colors is used.

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Multi-band photometric stereo using random sampling of channels and pixels
Daisuke Miyazaki, Koumei Hamaen
The International Workshop on Frontiers of Computer Vision (IW-FCV2022)
OS2-2, pp. 64-79, 2022/2/21 (2022/2/21-22)
Online (Hiroshima University, Hiroshima, Japan)
https://sites.google.com/view/iwfcv2022/home?authuser=0
Paper: English, Oral presentation: English
Oral Session 2
In: Sumi, K., Na, I.S., Kaneko, N. (eds) Frontiers of Computer Vision. IW-FCV 2022. Communications in Computer and Information Science, vol 1578. Springer, Cham. Switzerland.
https://doi.org/10.1007/978-3-031-06381-7_5
Hamaen-FCV2022.pdf
Hamaen-FCV2022.pptx
Multispectral Photometric Stereo Using Intrinsic Image Decomposition
Koumei Hamaen, Daisuke Miyazaki, Shinsaku Hiura
The International Workshop on Frontiers of Computer Vision (IW-FCV2020)
OS5-1, 16 pages, 2020/2/21 (2020/2/20-22)
Fureai Plaza Nanohanakan, Kagoshima, Japan
http://www.cvg.ait.kyushu-u.ac.jp/FCV2020/
Paper: English, Oral presentation: English
Oral Session 5
In: Ohyama W., Jung S. (eds) Frontiers of Computer Vision. IW-FCV 2020. Communications in Computer and Information Science, vol 1212. Springer, Singapore
https://doi.org/10.1007/978-981-15-4818-5_22
Hamaen-FCV2020.pdf
***Best Paper Award***

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