scholarly journals Combining Time of Flight and Photometric Stereo Imaging for 3D Reconstruction of Discontinuous Scenes

2021 ◽  
Author(s):  
Emma Le Francois ◽  
Alexander Griffiths ◽  
Jonathan McKendry ◽  
Haochang Chen ◽  
David Li ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Time Of Flight ◽  
Photometric Stereo ◽  
Stereo Imaging

scholarly journals Combined Time of Flight and Photometric Stereo Imaging for Surface Reconstruction

2020 ◽  
Author(s):  
Emma Le Francois ◽  
Johannes Herrnsdorf ◽  
Jonathan J. D. McKendry ◽  
Laurence Broadbent ◽  
Martin D. Dawson ◽  
...  
Keyword(s):  
Surface Reconstruction ◽  
Time Of Flight ◽  
Photometric Stereo ◽  
Stereo Imaging

scholarly journals Multimodal endoscopic system based on multispectral and photometric stereo imaging and analysis

2019 ◽  
Vol 10 (5) ◽  
pp. 2289 ◽  
Author(s):  
Jihun Kim ◽  
Hasan Al Faruque ◽  
Sewoong Kim ◽  
Eunjoo Kim ◽  
Jae Youn Hwang
Keyword(s):  
Photometric Stereo ◽  
Stereo Imaging

scholarly journals Mobile Photometric Stereo with Keypoint-Based SLAM for Dense 3D Reconstruction

2019 ◽  
Author(s):  
Remy Maxence ◽  
Hideaki Uchiyama ◽  
Hiroshi Kawasaki ◽  
Diego Thomas ◽  
Vincent Nozick ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Photometric Stereo ◽  
Dense 3D Reconstruction

scholarly journals LED-Based Photometric Stereo-Imaging Employing Frequency-Division Multiple Access

2018 ◽  
Author(s):  
Johannes Herrnsdorf ◽  
Jonathan McKendry ◽  
Mark Stonehouse ◽  
Laurence Broadbent ◽  
Glynn C. Wright ◽  
...  
Keyword(s):  
Multiple Access ◽  
Photometric Stereo ◽  
Frequency Division ◽  
Stereo Imaging

Dense 3D Reconstruction Based on Photometric Stereo with Unknown Light Source via Energy Minimization Framework

2013 ◽  
Vol 427-429 ◽  
pp. 1776-1780
Author(s):  
Yong Yan Yu
Keyword(s):  
3D Reconstruction ◽  
Prior Knowledge ◽  
Light Source ◽  
Energy Minimization ◽  
Photometric Stereo ◽  
Initial Surface ◽  
Regularization Technique ◽  
Normal Estimate ◽  
Novel Method ◽  
Dense 3D Reconstruction

In this paper,an novel method would be suggested to achieve an dense 3D reconstruction of objects using photometric stereo without any prior knowledge of light source. Using the photometric images I which is constructed with its columns equal to number of photometric images captured and rows equal to number of pixels in a photometric image. A per pixel initial surface normal estimate is computed based upon SVD of the image matrix I. A effective regularization technique has been applied on the initial normal estimate within the energy minimization framework which via graph cuts to regularize them and preserve the underlying discontinuities better.Finally, the regularized surface normals are integrated to recover the surface of the object. The algorithm has been tested on synthetic as well as real datasets and very encouraging results have been obtained.

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