Abstract: Photometric stereo is a method for estimating the normal vectors of an object from images of the object under varying lighting conditions.
In order to separate different features of image, this paper presents a variational model for image decomposition. Meanwhile a new cartoon-texture dictionary ...
Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi : Robust photometric stereo using learned image and gradient dictionaries. ICIP 2017: 1457-1461.
Aug 7, 2018 · We propose a model that applies dictionary learning to regularize and reconstruct the normal vectors from the images under the classic ...
This paper proposes a model that applies dictionary learning to regularize and reconstruct the normal vectors from the images under the classic Lambertian ...
Robust photometric stereo using learned image and gradient dictionaries. Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi. Robust photometric stereo ...
Robust photometric stereo using learned image and gradient dictionaries. AJ Wagenmaker, BE Moore, RR Nadakuditi. 2017 IEEE International Conference on Image ...
In this work, we propose a novel approach to photometric stereo that relies on dictionary learning to produce robust normal vector reconstructions. Specifically ...
Oct 24, 2017 · In this work, we propose a novel approach to photometric stereo that relies on dictionary learning to produce robust normal vector ...
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Robust photometric stereo using learned image and gradient dictionaries. Andrew J. Wagenmaker, Brian E. Moore, R. Nadakuditi. 2017, International Conference ...