TY - CHAP
T1 - Photometric Estimation
AU - Ikeuchi, Katsushi
AU - Matsushita, Yasuyuki
AU - Sagawa, Ryusuke
AU - Kawasaki, Hiroshi
AU - Mukaigawa, Yasuhiro
AU - Furukawa, Ryo
AU - Miyazaki, Daisuke
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - Previous chapters considered methods of estimating geometric shape information by using active-lighting methods, which provide photometric characteristics of the target scene and light sources. Because BRDF depends on materials, adequate lighting and analysis provides rich information about those materials. Moreover, multispectral light gives us more robust identification capability. Furthermore, polarization and fluorescence are useful for material classification. Analyzing captured images enables us to separate an image into several photometric components. Additionally, a scene illuminated by multiple lights can be decomposed into an image illuminated by a single light. As such, active lighting is useful, not only for geometrical analysis, but also for photometrical analysis.
AB - Previous chapters considered methods of estimating geometric shape information by using active-lighting methods, which provide photometric characteristics of the target scene and light sources. Because BRDF depends on materials, adequate lighting and analysis provides rich information about those materials. Moreover, multispectral light gives us more robust identification capability. Furthermore, polarization and fluorescence are useful for material classification. Analyzing captured images enables us to separate an image into several photometric components. Additionally, a scene illuminated by multiple lights can be decomposed into an image illuminated by a single light. As such, active lighting is useful, not only for geometrical analysis, but also for photometrical analysis.
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U2 - 10.1007/978-3-030-56577-0_8
DO - 10.1007/978-3-030-56577-0_8
M3 - Chapter
AN - SCOPUS:85091166866
T3 - Advances in Computer Vision and Pattern Recognition
SP - 183
EP - 209
BT - Advances in Computer Vision and Pattern Recognition
PB - Springer Science and Business Media Deutschland GmbH
ER -