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Shading- and geometry-aware lighting calibration network for uncalibrated photometric stereo
NeurocomputingJiahang Liu, Yuze Yang
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Machine Vision and Applications, 2014
Within the context of photometric stereo reconstruction, flatfielding may be used to compensate for the effect of the inverse-square law of light propagation on the pixel brightness. This would require capturing a set of reference images at an off-line imaging session, which employs a calibrating device that should be captured under the exact ...
Maria E. Angelopoulou, Maria Petrou
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Within the context of photometric stereo reconstruction, flatfielding may be used to compensate for the effect of the inverse-square law of light propagation on the pixel brightness. This would require capturing a set of reference images at an off-line imaging session, which employs a calibrating device that should be captured under the exact ...
Maria E. Angelopoulou, Maria Petrou
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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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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
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2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
The uncalibrated photometric stereo problem for non-Lambertian surfaces is challenging because of the large number of unknowns and its ill-posed nature stemming from unknown reflectance functions. We propose a model that represents various isotropic reflectance functions by using the principal components of items in a dataset, and formulate the ...
Keisuke Midorikawa +2 more
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The uncalibrated photometric stereo problem for non-Lambertian surfaces is challenging because of the large number of unknowns and its ill-posed nature stemming from unknown reflectance functions. We propose a model that represents various isotropic reflectance functions by using the principal components of items in a dataset, and formulate the ...
Keisuke Midorikawa +2 more
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Hybrid Uncalibrated Near-light Photometric Stereo in Realistic Environment
2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022Wu Ran +6 more
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Multi-scale and attention training of uncalibrated photometric stereo networks
International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023)Hangtian Zheng, Lili Cao, Yongjian Zhu
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EventUPS: Uncalibrated Photometric Stereo Using an Event Camera
2025 IEEE/CVF International Conference on Computer Vision (ICCV)Jinxiu Liang +6 more
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A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019Boxin Shi, Sai-Kit Yeung, Zhipeng Mo
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Lightweight neural inverse rendering framework for uncalibrated photometric stereo
Journal of Electronic ImagingZhi Xu +4 more
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