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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Main Authors: Maryam Khanian, Ali Sharifi Boroujerdi, Michael Breuß
Format: Article
Language:English
Published: SpringerOpen 2018-02-01
Series:Computational Visual Media
Subjects:
Online Access:http://link.springer.com/article/10.1007/s41095-017-0101-9
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spelling 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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