A wide-baseline multiview system for indoor scene capture

Author:

Barrios Théo1ORCID,Niquin Cedric2ORCID,Prévost Stéphanie1ORCID,Souchet Philippe3ORCID,Loscos Celine4ORCID

Affiliation:

1. Laboratoire d'Informatique en Calcul Intensif et Image pour la Simulation, University of Reims Champagne-Ardenne, FR

2. Laboratoire d'Informatique en Calcul Intensif et Image pour la Simulation, XD Productions, FR

3. XD Productions, FR

4. University of Reims Champagne-Ardenne, FR

Funder

Agence National de Recherche

Publisher

ACM

Reference39 articles.

1. Martín Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dandelion Mané Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Viégas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. https://www.tensorflow.org/ Software available from tensorflow.org. Martín Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dandelion Mané Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Viégas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. https://www.tensorflow.org/ Software available from tensorflow.org.

2. Vassileios Balntas , Edward Johns , Lilian Tang , and Krystian Mikolajczyk . 2016. PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors. arXiv:1601.05030 [cs] (Jan 2016 ). http://arxiv.org/abs/1601.05030 arXiv:1601.05030. Vassileios Balntas, Edward Johns, Lilian Tang, and Krystian Mikolajczyk. 2016. PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors. arXiv:1601.05030 [cs] (Jan 2016). http://arxiv.org/abs/1601.05030 arXiv:1601.05030.

3. A General and Adaptive Robust Loss Function

4. Jennifer Bonnard , Céline Loscos , Gilles Valette , Jean-Michel Nourrit , and Laurent Lucas . 2012. High-dynamic range video acquisition with a multiview camera . In Optics, Photonics, and Digital Technologies for Multimedia Applications II, Peter Schelkens, Touradj Ebrahimi, Gabriel Cristòbal, Frédéric Truchetet, and Pasi Saarikko (Eds.). Vol. 8436 . International Society for Optics and Photonics, SPIE , Brussels, Belgium , 81 – 91. Jennifer Bonnard, Céline Loscos, Gilles Valette, Jean-Michel Nourrit, and Laurent Lucas. 2012. High-dynamic range video acquisition with a multiview camera. In Optics, Photonics, and Digital Technologies for Multimedia Applications II, Peter Schelkens, Touradj Ebrahimi, Gabriel Cristòbal, Frédéric Truchetet, and Pasi Saarikko (Eds.). Vol. 8436. International Society for Optics and Photonics, SPIE, Brussels, Belgium, 81 – 91.

5. Rohan Chabra Julian Straub Christopher Sweeney Richard Newcombe and Henry Fuchs. 2019. StereoDRNet: Dilated Residual StereoNet. 11786–11795. https://openaccess.thecvf.com/content_CVPR_2019/html/Chabra_StereoDRNet_Dilated_Residual_StereoNet_CVPR_2019_paper.html Rohan Chabra Julian Straub Christopher Sweeney Richard Newcombe and Henry Fuchs. 2019. StereoDRNet: Dilated Residual StereoNet. 11786–11795. https://openaccess.thecvf.com/content_CVPR_2019/html/Chabra_StereoDRNet_Dilated_Residual_StereoNet_CVPR_2019_paper.html

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