Authors:
Toshiya Kawabata
;
Fumihiko Sakaue
and
Jun Sato
Affiliation:
Nagoya Institute of Technology, Japan
Keyword(s):
Photometric Stereo, Multi-band Imaging, Multi-band Lighting, Photometric Analysis.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Color and Texture Analyses
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image and Video Analysis
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
;
Image-Based Modeling
;
Pattern Recognition
;
Software Engineering
Abstract:
3D reconstruction of object shape is one of the most important problem in the field of computer vision. Especially,
estimation of normal orientation of object surface is useful for photo-realistic image rendering. For this
estimation, the photometric stereo is often used. However, it requires multiple images taken under different
lighting conditions in the same pose, and thus, we cannot apply it to moving objects in general. In this paper,
we propose a one-shot photometric stereo for estimating surface normal of moving objects with arbitrary
textures. In our method, we estimate surface orientation and reflectance property simultaneously. For this
objective, reflectance data set is used for decreasing DoF (Degree of Freedom) of estimation. In addition, we
classify reflectance property of an input image into limited number of classes. By using the prior knowledge,
our method can estimate surface orientation and reflectance property, even if input information is not sufficient
for the e
stimation.
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