Photometric stereo for strong specular highlights
Abstract Photometric stereo is a fundamental technique in computer vision known to produce 3D shape with high accuracy. It uses several input images of a static scene taken from one and the same camera position but under varying illumination. The vast majority of studies in this 3D reconstruction me...
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Online Access: | http://link.springer.com/article/10.1007/s41095-017-0101-9 |
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doaj-a1c6a78d21414eabba37615574089eaa2020-11-25T00:09:04ZengSpringerOpenComputational Visual Media2096-04332096-06622018-02-01418310210.1007/s41095-017-0101-9Photometric stereo for strong specular highlightsMaryam Khanian0Ali Sharifi Boroujerdi1Michael Breuß2Chair of Applied Mathematics, Brandenburg University of TechnologyChair of Applied Mathematics, Brandenburg University of TechnologyChair of Applied Mathematics, Brandenburg University of TechnologyAbstract Photometric stereo is a fundamental technique in computer vision known to produce 3D shape with high accuracy. It uses several input images of a static scene taken from one and the same camera position but under varying illumination. The vast majority of studies in this 3D reconstruction method assume orthographic projection for the camera model. In addition, they mainly use the Lambertian reflectance model as the way that light scatters at surfaces. Thus, providing reliable photometric stereo results from real world objects still remains a challenging task. We address 3D reconstruction by use of a more realistic set of assumptions, combining for the first time the complete Blinn–Phong reflectance model and perspective projection. Furthermore, we compare two different methods of incorporating the perspective projection into our model. Experiments are performed on both synthetic and real world images; the latter do not benefit from laboratory conditions. The results show the high potential of our method even for complex real world applications such as medical endoscopy images which may include many specular highlights.http://link.springer.com/article/10.1007/s41095-017-0101-9photometric stereo (PS)complete Blinn–Phong modelperspective projectiondiffuse reflectionspecular reflection |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Maryam Khanian Ali Sharifi Boroujerdi Michael Breuß |
spellingShingle |
Maryam Khanian Ali Sharifi Boroujerdi Michael Breuß Photometric stereo for strong specular highlights Computational Visual Media photometric stereo (PS) complete Blinn–Phong model perspective projection diffuse reflection specular reflection |
author_facet |
Maryam Khanian Ali Sharifi Boroujerdi Michael Breuß |
author_sort |
Maryam Khanian |
title |
Photometric stereo for strong specular highlights |
title_short |
Photometric stereo for strong specular highlights |
title_full |
Photometric stereo for strong specular highlights |
title_fullStr |
Photometric stereo for strong specular highlights |
title_full_unstemmed |
Photometric stereo for strong specular highlights |
title_sort |
photometric stereo for strong specular highlights |
publisher |
SpringerOpen |
series |
Computational Visual Media |
issn |
2096-0433 2096-0662 |
publishDate |
2018-02-01 |
description |
Abstract Photometric stereo is a fundamental technique in computer vision known to produce 3D shape with high accuracy. It uses several input images of a static scene taken from one and the same camera position but under varying illumination. The vast majority of studies in this 3D reconstruction method assume orthographic projection for the camera model. In addition, they mainly use the Lambertian reflectance model as the way that light scatters at surfaces. Thus, providing reliable photometric stereo results from real world objects still remains a challenging task. We address 3D reconstruction by use of a more realistic set of assumptions, combining for the first time the complete Blinn–Phong reflectance model and perspective projection. Furthermore, we compare two different methods of incorporating the perspective projection into our model. Experiments are performed on both synthetic and real world images; the latter do not benefit from laboratory conditions. The results show the high potential of our method even for complex real world applications such as medical endoscopy images which may include many specular highlights. |
topic |
photometric stereo (PS) complete Blinn–Phong model perspective projection diffuse reflection specular reflection |
url |
http://link.springer.com/article/10.1007/s41095-017-0101-9 |
work_keys_str_mv |
AT maryamkhanian photometricstereoforstrongspecularhighlights AT alisharifiboroujerdi photometricstereoforstrongspecularhighlights AT michaelbreuß photometricstereoforstrongspecularhighlights |
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1725413116761604096 |