Uncalibrated Photometric Stereo Using Quadric Surfaces with Two Cameras
2020Inverse rendering is a method for estimating object shapes and lighting conditions from a set of images. In the present paper, we propose an uncalibrated photometric stereo method that approximates the shapes of the target objects using quadric surfaces (ellipsoids or hyperboloids), and this shape representation allows us to use multiple cameras in ...
Takumi Nasu +3 more
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Shape-from-Shifting: Uncalibrated Photometric Stereo with a Mobile Device
2017 IEEE 13th International Conference on e-Science (e-Science), 2017Surface shape scanning techniques, such as laser scanning and photometric stereo, are widespread analytical tools used in the field of cultural heritage. Compared to regular 2D RGB photos, 3D surface scans provide higher fidelity of an object's surface shape which assist conservators, art historians, and archaeologists in understanding how these ...
Chia-Kai Yeh +5 more
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Fusing Multiview and Photometric Stereo for 3D Reconstruction under Uncalibrated Illumination
IEEE Transactions on Visualization and Computer Graphics, 2011We propose a method to obtain a complete and accurate 3D model from multiview images captured under a variety of unknown illuminations. Based on recent results showing that for Lambertian objects, general illumination can be approximated well using low-order spherical harmonics, we develop a robust alternating approach to recover surface normals ...
Chenglei Wu +3 more
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In Search of an Optimal Set of Images for Uncalibrated Photometric Stereo
2008 Seventh Mexican International Conference on Artificial Intelligence, 2008In this paper, we draw on the ideas of previous work done by Drbohlav and Chantler [5], where a theoretical study on the optimal lighting configuration for photometric stereo was developed. They demonstrated that the known n light source azimuth angles should be equally spaced over 360/n degrees and the n light source elevation angles should be ...
Felipe Hernández-Rodríguez +1 more
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Revisiting One-Stage Deep Uncalibrated Photometric Stereo via Fourier Embedding
IEEE Transactions on Pattern Analysis and Machine IntelligenceThis paper introduces a one-stage deep uncalibrated photometric stereo (UPS) network, namely Fourier Uncalibrated Photometric Stereo Network (FUPS-Net), for non-Lambertian objects under unknown light directions. It departs from traditional two-stage methods that first explicitly learn lighting information and then estimate surface normals.
Yakun Ju, Boxin Shi, Bihan Wen
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A closed-form solution to uncalibrated photometric stereo via diffuse maxima
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012In this paper we propose a novel solution to uncalibrated photometric stereo. Our approach is to eliminate the so-called generalized bas relief (GBR) ambiguity by exploiting points where the Lambertian reflection is maximal. We demonstrate several noteworthy properties of these maxima: 1) Closed-form solution: A single diffuse maximum constrains the ...
Paolo Favaro, Thoma Papadhimitri
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Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo
Paper accepted by ...
Boxin Shi, Gang Pan, Xudong Jiang
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Shading- and geometry-aware lighting calibration network for uncalibrated photometric stereo
NeurocomputingYuze Yang, Jiahang Liu
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Uncalibrated photometric stereo constrained by intrinsic reflectance image and shape from silhoutte
2019 16th International Conference on Machine Vision Applications (MVA), 2019Photometric stereo is a method which estimates surface normal from object's shading. Uncalibrated photometric stereo is the photometric stereo where the light source direction is unknown. Uncalibrated photometric stereo which estimates both light source direction and surface normal is an ill-posed problem, and has ambiguity for solving the problem.
Daisuke Miyazaki, Shinsaku Hiura
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Incorporating the Torrance and Sparrow model of reflectance in uncalibrated photometric stereo
Proceedings Ninth IEEE International Conference on Computer Vision, 2003Under the Lambertian reflectance model, uncalibrated photometric stereo with unknown light sources is inherently ambiguous. In this paper, we consider the use of a more general reflectance model, namely the Torrance and Sparrow model, in uncalibrated photometric stereo.
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