Results 21 to 30 of about 158,596 (115)
New perspectives on uncalibrated photometric stereo
, 2014 Papadhimitri, Thoma
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A Closed-Form, Consistent and Robust Solution to Uncalibrated Photometric Stereo Via Local Diffuse Reflectance Maxima [PDF]
, 2014 Images of an object under different illumination are known to provide strong cues about the object surface. A mathematical formalization of how to recover the normal map of such a surface leads to the so-called uncalibrated photometric stereo problem. In
Favaro, Paolo, Papadhimitri, Thoma
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Deformable and articulated 3D reconstruction from monocular video sequences [PDF]
, 2012 PhDThis thesis addresses the problem of deformable and articulated structure from motion from monocular uncalibrated video sequences. Structure from motion is defined as the problem of recovering information about the 3D structure of scenes imaged by a
Paladini, Marco
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Deep Uncalibrated Photometric Stereo Via Inter-Intra Image Feature Fusion
SSRN Electronic Journal, 2022 Uncalibrated photometric stereo is proposed to estimate the detailed surface normal from images under varying and unknown lightings. Recently, deep learning brings powerful data priors to this underdetermined problem. This paper presents a new method for deep uncalibrated photometric stereo, which efficiently utilizes the inter-image representation to ...
Fangzhou Gao +4 more
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3D Face Reconstruction using Color Photometric Stereo with Uncalibrated Near Point Lights [PDF]
2020 IEEE International Conference on Computational Photography (ICCP), 2020 We present a new color photometric stereo (CPS) method that recovers high quality, detailed 3D face geometry in a single shot. Our system uses three uncalibrated near point lights of different colors and a single camera. For robust self-calibration of the light sources, we use 3D morphable model (3DMM) and semantic segmentation of facial parts.
Zhang Chen +4 more
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Deep Photometric Stereo for Non-Lambertian Surfaces [PDF]
, 2022 This paper addresses the problem of photometric stereo, in both calibrated and uncalibrated scenarios, for non-Lambertian surfaces based on deep learning.
Han, K +4 more
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Improve Face Recognition Using Uncalibrated Photometric Stereo
, 2022 One characteristic of surface image is that the appearance of the surface which is a function of the illuminant direction as well as of the surface topography.
Zainab M. Hussain
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Self-Calibrating Deep Photometric Stereo Networks [PDF]
, 2019 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 specific reflectances and light source distributions, our method is able to ...
Yasuyuki Matsushita +9 more
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CoRR, 2022 Uncalibrated photometric stereo (UPS) is challenging due to the inherent ambiguity brought by unknown light. Existing solutions alleviate the ambiguity by either explicitly associating reflectance to light conditions or resolving light conditions in a supervised manner.
Zongrui Li 0001 +5 more
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Affine reconstruction from monocular vision in the presence of a symmetry plane [PDF]
, 1999 This paper reports a closed-form solution for reconstructing a scene up to an affine transformation from a single image in the presence of a symmetry plane. Unlike scene reconstruction in stereo vision, the affine reconstruction process discussed in this
D.Q. Huynh, Huynh, D.Q.
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