Results 11 to 20 of about 158,596 (115)
Uncalibrated Near-Light Photometric Stereo [PDF]
Proceedings of the British Machine Vision Conference 2014, 2014 In this work we solve the uncalibrated photometric stereo problem with lights placed near the scene. We investigate different image formation models and find the one that best fits our observations. Although the devised model is more complex than its far-light counterpart, we show that under a global linear ambiguity the reconstruction is possible up ...
Thoma Papadhimitri, Paolo Favaro
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Detail-Aware Uncalibrated Photometric Stereo [PDF]
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 Photometric stereo is the problem of jointly inferring the 3D reconstruction, reflectance, lighting and specularities of an object from a set of visual signals. Recently, some variational, uncalibrated, unsupervised and unified formulations have provided robust solutions to the problem while reducing the prior knowledge about the shape geometry or the ...
Agudo Martínez, Antonio
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Depth Super-Resolution Meets Uncalibrated Photometric Stereo [PDF]
2017 IEEE International Conference on Computer Vision Workshops (ICCVW), 2017 International Conference on Computer Vision (ICCV) Workshop ...
Songyou Peng +3 more
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Uncalibrated and Unsupervised Photometric Stereo with Piecewise Regularizer [PDF]
2024 IEEE International Conference on Image Processing (ICIP)Photometric stereo is a technique for recovering a rigid object's 3D shape, reflectance properties, lighting conditions, and specular highlights from multiple images captured under varying lighting conditions. Variational, uncalibrated, and unsupervised formulations have recently provided detailed and robust solutions to the problem, reducing the need ...
Casanova Martin, Alejandro +1 more
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Solving the Uncalibrated Photometric Stereo Problem Using Total Variation [PDF]
, 2013 In this paper we propose a new method to solve the problem of uncalibrated photometric stereo, making very weak assumptions on the properties of the scene to be reconstructed. Our goal is to solve the generalized bas-relief ambiguity (GBR) by performing a total variation regularization of both the estimated normal field and albedo.
Yvain Quéau +2 more
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Uncalibrated Photometric Stereo for Unknown Isotropic Reflectances
2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013 We propose an uncalibrated photometric stereo method that works with general and unknown isotropic reflectances. Our method uses a pixel intensity profile, which is a sequence of radiance intensities recorded at a pixel across multi-illuminance images.
Feng Lu 0005 +4 more
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On the Well-Posedness of Uncalibrated Photometric Stereo Under General Lighting [PDF]
, 2020 Uncalibrated photometric stereo aims at estimating the 3D-shape of a surface, given a set of images captured from the same viewing angle, but under unknown, varying illumination. While the theoretical foundations of this inverse problem under directional lighting are well-established, there is a lack of mathematical evidence for the uniqueness of a ...
Brahimi, Mohammed +3 more
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Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo [PDF]
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022 We present an automated machine learning approach for uncalibrated photometric stereo (PS). Our work aims at discovering lightweight and computationally efficient PS neural networks with excellent surface normal accuracy. Unlike previous uncalibrated deep PS networks, which are handcrafted and carefully tuned, we leverage differentiable neural ...
Sarno, Francesco +5 more
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Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 This paper presents an uncalibrated deep neural network framework for the photometric stereo problem. For training models to solve the problem, existing neural network-based methods either require exact light directions or ground-truth surface normals of the object or both.
Berk Kaya +4 more
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Variational Uncalibrated Photometric Stereo Under General Lighting [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 Photometric stereo (PS) techniques nowadays remain constrained to an ideal laboratory setup where modeling and calibration of lighting is amenable. To eliminate such restrictions, we propose an efficient principled variational approach to uncalibrated PS under general illumination. To this end, the Lambertian reflectance model is approximated through a
Zhenzhang Ye +5 more
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