TY - CHAP
T1 - Structured Light
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 - The structured light method is a very popular way to find correspondences between coordinates of a camera image and those of a projector image. This method class uses spatial or temporal image patterns as clues to obtain correspondence information. The basic approaches are described in Sect. 2.5, and various extensions have been proposed to apply structured light methods to various situations. In this chapter, the methods are classified based on projection patterns, and several extension methods are introduced.
AB - The structured light method is a very popular way to find correspondences between coordinates of a camera image and those of a projector image. This method class uses spatial or temporal image patterns as clues to obtain correspondence information. The basic approaches are described in Sect. 2.5, and various extensions have been proposed to apply structured light methods to various situations. In this chapter, the methods are classified based on projection patterns, and several extension methods are introduced.
UR - http://www.scopus.com/inward/record.url?scp=85091181913&partnerID=8YFLogxK
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U2 - 10.1007/978-3-030-56577-0_6
DO - 10.1007/978-3-030-56577-0_6
M3 - Chapter
AN - SCOPUS:85091181913
T3 - Advances in Computer Vision and Pattern Recognition
SP - 125
EP - 155
BT - Advances in Computer Vision and Pattern Recognition
PB - Springer Science and Business Media Deutschland GmbH
ER -