@inproceedings{747ab696ee1c478ebf507f3ce967f3f6,
title = "Photometric Segmentation: Simultaneous Photometric Stereo and Masking",
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.",
keywords = "3D Reconstruction, Photometric Stereo, Segmentation, Variational Methods",
author = "Bjoern Haefner and Yvain Queau and Daniel Cremers",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 7th International Conference on 3D Vision, 3DV 2019 ; Conference date: 15-09-2019 Through 18-09-2019",
year = "2019",
month = sep,
doi = "10.1109/3DV.2019.00033",
language = "English",
series = "Proceedings - 2019 International Conference on 3D Vision, 3DV 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "222--229",
booktitle = "Proceedings - 2019 International Conference on 3D Vision, 3DV 2019",
}