Photometric Segmentation: Simultaneous Photometric Stereo and Masking
Haefner B, Queau Y, Cremers D (2019)
Publication Type: Conference contribution
Publication year: 2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 222-229
Conference Proceedings Title: Proceedings - 2019 International Conference on 3D Vision, 3DV 2019
Event location: Quebec, QC, CAN
ISBN: 9781728131313
Abstract
This work is concerned with both the 3D-reconstruction of an object using photometric stereo, and its 2D-segmentation from the background. In contrast with previous works on photometric stereo which assume that a mask of the area of interest has been computed beforehand, we formulate 3D-reconstruction and 2D-segmentation as a joint problem. The proposed variational solution combines a differential formulation of photometric stereo with the classic Chan-Vese model for active contours. Given a set of photometric stereo images, this solution simultaneously infers a binary mask of the object of interest and a depth map representing its 3D-shape. Experiments on real-world datasets confirm the soundness of simultaneously solving both these classic computer vision problems, as the joint approach considerably simplifies the overall 3D-scanning process for the end-user.
Involved external institutions
Technische Universität München (TUM)
Germany (DE)
National Center for Scientific Research / Centre national de la recherche scientifique (CNRS)
France (FR)
Germany (DE)
National Center for Scientific Research / Centre national de la recherche scientifique (CNRS)
France (FR)
How to cite
APA:
Haefner, B., Queau, Y., & Cremers, D. (2019). Photometric Segmentation: Simultaneous Photometric Stereo and Masking. In Proceedings - 2019 International Conference on 3D Vision, 3DV 2019 (pp. 222-229). Quebec, QC, CAN: Institute of Electrical and Electronics Engineers Inc..
MLA:
Haefner, Bjoern, Yvain Queau, and Daniel Cremers. "Photometric Segmentation: Simultaneous Photometric Stereo and Masking." Proceedings of the 7th International Conference on 3D Vision, 3DV 2019, Quebec, QC, CAN Institute of Electrical and Electronics Engineers Inc., 2019. 222-229.
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