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RGBD-fusion: Real-time high precision depth recovery

Publication ,  Conference
Or-El, R; Rosman, G; Wetzler, A; Kimmel, R; Bruckstein, AM
Published in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
October 14, 2015

The popularity of low-cost RGB-D scanners is increasing on a daily basis. Nevertheless, existing scanners often cannot capture subtle details in the environment. We present a novel method to enhance the depth map by fusing the intensity and depth information to create more detailed range profiles. The lighting model we use can handle natural scene illumination. It is integrated in a shape from shading like technique to improve the visual fidelity of the reconstructed object. Unlike previous efforts in this domain, the detailed geometry is calculated directly, without the need to explicitly find and integrate surface normals. In addition, the proposed method operates four orders of magnitude faster than the state of the art. Qualitative and quantitative visual and statistical evidence support the improvement in the depth obtained by the suggested method.

Duke Scholars

Published In

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

DOI

ISSN

1063-6919

Publication Date

October 14, 2015

Volume

07-12-June-2015

Start / End Page

5407 / 5416
 

Citation

APA
Chicago
ICMJE
MLA
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Or-El, R., Rosman, G., Wetzler, A., Kimmel, R., & Bruckstein, A. M. (2015). RGBD-fusion: Real-time high precision depth recovery. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Vol. 07-12-June-2015, pp. 5407–5416). https://doi.org/10.1109/CVPR.2015.7299179
Or-El, R., G. Rosman, A. Wetzler, R. Kimmel, and A. M. Bruckstein. “RGBD-fusion: Real-time high precision depth recovery.” In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 07-12-June-2015:5407–16, 2015. https://doi.org/10.1109/CVPR.2015.7299179.
Or-El R, Rosman G, Wetzler A, Kimmel R, Bruckstein AM. RGBD-fusion: Real-time high precision depth recovery. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2015. p. 5407–16.
Or-El, R., et al. “RGBD-fusion: Real-time high precision depth recovery.” Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 07-12-June-2015, 2015, pp. 5407–16. Scopus, doi:10.1109/CVPR.2015.7299179.
Or-El R, Rosman G, Wetzler A, Kimmel R, Bruckstein AM. RGBD-fusion: Real-time high precision depth recovery. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2015. p. 5407–5416.

Published In

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

DOI

ISSN

1063-6919

Publication Date

October 14, 2015

Volume

07-12-June-2015

Start / End Page

5407 / 5416