3D Scanning Solution for Textured Object using Photometric Stereo with Multiple Known Light Sources

2018 ◽  
Vol 2018 (1) ◽  
pp. 6-9 ◽  
Author(s):  
Arnold Cheveau
Keyword(s):  
Photometric Stereo ◽  
3D Scanning ◽  
Light Sources

scholarly journals Eliminating the Effect of Reflectance Properties on Reconstruction in Stripe Structured Light System

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6564
Author(s):  
Zhao Song ◽  
Zhan Song ◽  
Yuping Ye
Keyword(s):  
Hybrid System ◽  
Surface Texture ◽  
Structured Light ◽  
Photometric Stereo ◽  
Free Form ◽  
Light Sources ◽  
Reconstruction Accuracy ◽  
Surface Geometry ◽  
Complex Objects ◽  
Structured Light System

The acquisition of the geometry of general scenes is related to the interplay of surface geometry, material properties and illumination characteristics. Surface texture and non-Lambertian reflectance properties degrade the reconstruction results by structured light technique. Existing structured light techniques focus on different coding strategy and light sources to improve reconstruction accuracy. The hybrid system consisting of a structured light technique and photometric stereo combines the depth value with normal information to refine the reconstruction results. In this paper, we propose a novel hybrid system consisting of stripe-based structured light and photometric stereo. The effect of surface texture and non-Lambertian reflection on stripe detection is first concluded. Contrary to existing fusion strategy, we propose an improved method for stripe detection to reduce the above factor’s effects on accuracy. The reconstruction problem for general scene comes down to using reflectance properties to improve the accuracy of stripe detection. Several objects, including checkerboard, metal-flat plane and free-form objects with complex reflectance properties, were reconstructed to validate our proposed method, which illustrates the effectiveness on improving the reconstruction accuracy of complex objects. The three-step phase-shifting algorithm was implemented and the reconstruction results were given and also compared with ours. In addition, our proposed framework provides a new feasible scheme for solving the ongoing problem of the reconstruction of complex objects with variant reflectance. The problem can be solved by subtracting the non-Lambertian components from the original grey values of stripe to improve the accuracy of stripe detection. In the future, based on stripe structured light technique, more general reflection models can be used to model different types of reflection properties of complex objects.

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

Robust photometric stereo using structural light sources

2014 ◽  
Vol 23 (3) ◽  
pp. 033004 ◽  
Author(s):  
Tian-Qi Han ◽  
Yue Cheng ◽  
Hui-Liang Shen ◽  
Xin Du
Keyword(s):  
Photometric Stereo ◽  
Light Sources

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.

Tailored photometric stereo: Optimization of light source positions for various materials

2020 ◽  
Vol 2020 (6) ◽  
pp. 71-1-71-7
Author(s):  
Christian Kapeller ◽  
Doris Antensteiner ◽  
Svorad Štolc
Keyword(s):  
Surface Defects ◽  
Ground Truth ◽  
Photometric Stereo ◽  
Industrial Applications ◽  
Training Data ◽  
Light Sources ◽  
Data Set ◽  
Novel Approach ◽  
Reconstruction Performance ◽  
Public Data

Industrial machine vision applications frequently employ Photometric Stereo (PS) methods to detect fine surface defects on objects with challenging surface properties. To achieve highly precise results, acquisition setups with a vast amount of strobed illumination angles are required. The time-consuming nature of such an undertaking renders it inapt for most industrial applications. We overcome these limitations by carefully tailoring the required light setup to specific applications. Our novel approach facilitates the design of optimized acquisition setups for inline PS inspection systems. The optimal positions of light sources are derived from only a few representative material samples without the need for extensive amounts of training data. We formulate an energy function that constructs the illumination setup which generates the highest PS accuracy. The setup can be tailored for fast acquisition speed or cost efficiency. A thorough evaluation of the performance of our approach will be given on a public data set, evaluated by the mean angular error (MAE) for surface normals and root mean square (RMS) error for albedos. Our results show, that the obtained optimized PS setups can deliver a reconstruction performance close to the ground truth, while requiring only a few acquisitions.

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

Application of Computer Algebra to Photometric Stereo with Two Light Sources

2018 ◽  
Vol 44 (2) ◽  
pp. 112-119 ◽  
Author(s):  
R. Kozera ◽  
A. N. Prokopenya
Keyword(s):  
Computer Algebra ◽  
Photometric Stereo ◽  
Light Sources
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