Self-calibrating deep photometric stereo networks
This paper proposes an uncalibrated photometric stereo method for non-Lambertian scenes
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …
[PDF][PDF] Self-calibrating Deep Photometric Stereo Networks
G Chen, K Han, B Shi, Y Matsushita, KYK Wong - robots.ox.ac.uk
This paper proposes an uncalibrated photometric stereo method for non-Lambertian scenes
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …
Self-calibrating Deep Photometric Stereo Networks
G Chen, K Han, B Shi, Y Matsushita… - IEEE Conference on …, 2019 - hub.hku.hk
This paper proposes an uncalibrated photometric stereo method for non-Lambertian scenes
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …
[PDF][PDF] Self-calibrating Deep Photometric Stereo Networks
G Chen, K Han, B Shi, Y Matsushita, KYK Wong - robots.ox.ac.uk
This paper proposes an uncalibrated photometric stereo method for non-Lambertian scenes
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …
[PDF][PDF] Self-calibrating Deep Photometric Stereo Networks
G Chen, K Han, B Shi, Y Matsushita, KYK Wong - i.cs.hku.hk
This paper proposes an uncalibrated photometric stereo method for non-Lambertian scenes
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …
Self-Calibrating Deep Photometric Stereo Networks
G Chen, K Han, B Shi, Y Matsushita… - 2019 IEEE/CVF …, 2019 - ieeexplore.ieee.org
This paper proposes an uncalibrated photometric stereo method for non-Lambertian scenes
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …
[引用][C] Self-Calibrating Deep Photometric Stereo Networks
G Chen, K Han, B Shi, Y Matsushita… - 2019 IEEE/CVF …, 2019 - cir.nii.ac.jp
Self-Calibrating Deep Photometric Stereo Networks | CiNii Research CiNii 国立情報学研究所
学術情報ナビゲータ[サイニィ] 論文・データをさがす 大学図書館の本をさがす 日本の博士論文を …
学術情報ナビゲータ[サイニィ] 論文・データをさがす 大学図書館の本をさがす 日本の博士論文を …
Self-calibrating Deep Photometric Stereo Networks
G Chen, K Han, B Shi, Y Matsushita… - arXiv preprint arXiv …, 2019 - arxiv.org
This paper proposes an uncalibrated photometric stereo method for non-Lambertian scenes
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …
[PDF][PDF] Self-calibrating Deep Photometric Stereo Networks
G Chen, K Han, B Shi, Y Matsushita, KYK Wong - researchgate.net
This paper proposes an uncalibrated photometric stereo method for non-Lambertian scenes
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …
[PDF][PDF] Self-calibrating Deep Photometric Stereo Networks
G Chen, K Han, B Shi, Y Matsushita, KYK Wong - cvl.ist.osaka-u.ac.jp
This paper proposes an uncalibrated photometric stereo method for non-Lambertian scenes
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …
based on deep learning. Unlike previous approaches that heavily rely on assumptions of …