scholarly journals A Novel Iterative Algorithm for Recovering Shape and 3D Information using Photometric Stereo with Point Light Sources in Attenuating and Scattering Media

2014 ◽  
Vol 108 (8) ◽  
pp. 29-31
Author(s):  
K. Nagesh ◽  
D. Nageswara Rao ◽  
Song K. Choi
Keyword(s):  
Iterative Algorithm ◽  
Photometric Stereo ◽  
Light Sources ◽  
Scattering Media ◽  
3D Information ◽  
Point Light

Near Field Photometric Stereo with Point Light Sources

2014 ◽  
Vol 7 (4) ◽  
pp. 2732-2770 ◽  
Author(s):  
Roberto Mecca ◽  
Aaron Wetzler ◽  
Alfred M. Bruckstein ◽  
Ron Kimmel
Keyword(s):  
Near Field ◽  
Photometric Stereo ◽  
Light Sources ◽  
Point Light

scholarly journals INVESTIGATING 3D RECONSTRUCTION OF NON-COLLABORATIVE SURFACES THROUGH PHOTOGRAMMETRY AND PHOTOMETRIC STEREO

2021 ◽  
Vol XLIII-B2-2021 ◽  
pp. 519-526
Author(s):  
A. Karami ◽  
F. Menna ◽  
F. Remondino
Keyword(s):  
Surface Topography ◽  
Surface Deformation ◽  
Low Frequency ◽  
Experimental Tests ◽  
Photometric Stereo ◽  
Light Sources ◽  
Concept Design ◽  
Textured Surfaces ◽  
Main Concept ◽  
3D Information

Abstract. 3D digital reconstruction techniques are extensively used for quality control purposes. Among them, photogrammetry and photometric stereo methods have been for a long time used with success in several application fields. However, generating highly-detailed and reliable micro-measurements of non-collaborative surfaces is still an open issue. In these cases, photogrammetry can provide accurate low-frequency 3D information, whereas it struggles to extract reliable high-frequency details. Conversely, photometric stereo can recover a very detailed surface topography, although global surface deformation is often present. In this paper, we present the preliminary results of an ongoing project aiming to combine photogrammetry and photometric stereo in a synergetic fusion of the two techniques. Particularly, hereafter, we introduce the main concept design behind an image acquisition system we developed to capture images from different positions and under different lighting conditions as required by photogrammetry and photometric stereo techniques. We show the benefit of such a combination through some experimental tests. The experiments showed that the proposed method recovers the surface topography at the same high-resolution achievable with photometric stereo while preserving the photogrammetric accuracy. Furthermore, we exploit light directionality and multiple light sources to improve the quality of dense image matching in poorly textured surfaces.

Close-Range Photometric Stereo with Point Light Sources

2014 ◽  
Author(s):  
Aaron Wetzler ◽  
Ron Kimmel ◽  
Alfred M. Bruckstein ◽  
Roberto Mecca
Keyword(s):  
Photometric Stereo ◽  
Light Sources ◽  
Close Range ◽  
Point Light
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