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Photometric Stereo via Expectation Maximization
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010This paper presents a robust and automatic approach to photometric stereo, where the two main components, namely surface normals and visible surfaces, are respectively optimized by Expectation Maximization (EM). A dense set of input images is conveniently captured using a digital video camera while a handheld spotlight is being moved around the target ...
Wu, Tai-Pang, Tang, Chi-Keung
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2010
We propose a novel algorithm for uncalibrated photometric stereo. While most of previous methods rely on various assumptions on scene properties, we exploit constraints in lighting configurations. We first derive an ambiguous reconstruction by requiring lights to lie on a view centered cone.
Zhenglong Zhou, Ping Tan
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We propose a novel algorithm for uncalibrated photometric stereo. While most of previous methods rely on various assumptions on scene properties, we exploit constraints in lighting configurations. We first derive an ambiguous reconstruction by requiring lights to lie on a view centered cone.
Zhenglong Zhou, Ping Tan
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Binocular Uncalibrated Photometric Stereo
2006In Uncalibrated Photometric Stereo (UPS), the surface normals and light sources are determined up to a group of ambiguous Generalized Bas-Relief (GBR) transformations. However, it has been shown by previous works to be rather troublesome to solve these ambiguities. In this paper, a framework of Binocular Uncalibrated Photometric Stereo (B-UPS) is given
Hui Kong 0001 +2 more
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A new approach to photometric stereo
Pattern Recognition Letters, 1999Abstract We introduce a new approach to shape estimation from photometric stereo images. The input images are matched through an optical flow algorithm, with the matching direction iteratively refined. The resulting disparity field is then used in a structure-from-motion reconstruction which does not require reflectance map information.
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Testing Photometric Stereo Applications
2022 9th International Conference on Dependable Systems and Their Applications (DSA), 2022Ledio Jahaj, Franz Wotawa
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Mutual illumination photometric stereo. [PDF]
, 2018 Many techniques have been developed in computer vision to recover three-dimensional shape from two-dimensional images. These techniques impose various combinations of assumptions/restrictions of conditions to produce a representation of shape (e.g. surface normals or a height map). Although great progress has been made it is a problem which remains far
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6th International Conference on Image Processing and its Applications, 1997
A novel variant of photometric stereo, termed reflective photometric stereo (RPS), has been presented. RPS exploits differences in intensity measurements captured under direct and reflected illumination to recover surface orientation from pairs of grey level images.
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A novel variant of photometric stereo, termed reflective photometric stereo (RPS), has been presented. RPS exploits differences in intensity measurements captured under direct and reflected illumination to recover surface orientation from pairs of grey level images.
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SRPS–deep-learning-based photometric stereo using superresolution images
Journal of Computational Design and Engineering, 2021Seok Chung, Minho Chang, Chung Seok
exaly
Symmetric-light Photometric Stereo
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022Kazuma Minami +3 more
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