Results 11 to 20 of about 111 (93)
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
openaire +2 more sources
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
openaire +3 more sources
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
openaire +3 more sources
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
openaire +3 more sources
Detail-Aware Uncalibrated Photometric Stereo
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 ...
openaire +2 more sources
Solving Uncalibrated Photometric Stereo Using Total Variation [PDF]
Journal of Mathematical Imaging and Vision, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yvain Quéau +2 more
openaire +3 more sources
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
openaire +2 more sources
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
openaire +4 more sources
Visibility Subspaces: Uncalibrated Photometric Stereo with Shadows [PDF]
, 2010 Photometric stereo relies on inverting the image formation process, and doing this accurately requires reasoning about the visibility of light sources with respect to each image point. While simple heuristics for shadow detection suffice in some cases, they are susceptible to error. This paper presents an alternative approach for handling visibility in
Kalyan Sunkavalli +2 more
openaire +1 more source
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
openaire +3 more sources