scholarly journals A Structured-Light Approach for the Reconstruction of Complex Objects

2011 ◽  
Vol 6 ◽  
pp. 259-266
Author(s):  
Ilias Kalisperakis ◽  
Lazaros Grammatikopoulos ◽  
Elli Petsa ◽  
George Karras
Keyword(s):  
Low Cost ◽  
Structured Light ◽  
Digital Camera ◽  
3D Scanning ◽  
Scanning System ◽  
Complex Objects ◽  
Ongoing Research ◽  
Video Projector ◽  
3D Objects ◽  
Novel Algorithms

Recently, one of the central issues in the fields of Photogrammetry, Computer Vision, Computer Graphics and Image Processing is the development of tools for the automatic reconstruction of complex 3D objects. Among various approaches, one of the most promising is Structured Light 3D scanning (SL) which combines automation and high accuracy with low cost, given the steady decrease in price of cameras and projectors. SL relies on the projection of different light patterns, by means of a video projector, on 3D object sur faces, which are recorded by one or more digital cameras. Automatic pattern identification on images allows reconstructing the shape of recorded 3D objects via triangulation of the optical rays corresponding to projector and camera pixels. Models draped with realistic phototexture may be thus also generated, reproducing both geometry and appearance of the 3D world. In this context, subject of our research is a synthesis of state-of-the-art as well as the development of novel algorithms, in order to implement a 3D scanning system consisting, at this stage, of one consumer digital camera (DSLR) and a video projector. In the following, the main principles of structured light scanning and the algorithms implemented in our system are presented, and results are given to demonstrate the potential of such a system. Since this work is part of an ongoing research project, future tasks are also discussed.

scholarly journals STRUCTURED LIGHT BASED 3D SCANNING FOR SPECULAR SURFACE BY THE COMBINATION OF GRAY CODE AND PHASE SHIFTING

2016 ◽  
Vol XLI-B3 ◽  
pp. 137-142
Author(s):  
Yujia Zhang ◽  
Alper Yilmaz
Keyword(s):  
High Frequency ◽  
Structured Light ◽  
Gray Code ◽  
3D Scanning ◽  
Phase Shifting ◽  
Scanning System ◽  
High Quality ◽  
Specular Surface ◽  
Combination Technique ◽  
Indirect Illumination

Surface reconstruction using coded structured light is considered one of the most reliable techniques for high-quality 3D scanning. With a calibrated projector-camera stereo system, a light pattern is projected onto the scene and imaged by the camera. Correspondences between projected and recovered patterns are computed in the decoding process, which is used to generate 3D point cloud of the surface. However, the indirect illumination effects on the surface, such as subsurface scattering and interreflections, will raise the difficulties in reconstruction. In this paper, we apply maximum min-SW gray code to reduce the indirect illumination effects of the specular surface. We also analysis the errors when comparing the maximum min-SW gray code and the conventional gray code, which justifies that the maximum min-SW gray code has significant superiority to reduce the indirect illumination effects. To achieve sub-pixel accuracy, we project high frequency sinusoidal patterns onto the scene simultaneously. But for specular surface, the high frequency patterns are susceptible to decoding errors. Incorrect decoding of high frequency patterns will result in a loss of depth resolution. Our method to resolve this problem is combining the low frequency maximum min-SW gray code and the high frequency phase shifting code, which achieves dense 3D reconstruction for specular surface. Our contributions include: (i) A complete setup of the structured light based 3D scanning system; (ii) A novel combination technique of the maximum min-SW gray code and phase shifting code. First, phase shifting decoding with sub-pixel accuracy. Then, the maximum min-SW gray code is used to resolve the ambiguity resolution. According to the experimental results and data analysis, our structured light based 3D scanning system enables high quality dense reconstruction of scenes with a small number of images. Qualitative and quantitative comparisons are performed to extract the advantages of our new combined coding method.

scholarly journals Metrological evaluation of Structured Light 3D scanning system with an optical feature-based gauge

2017 ◽  
Vol 13 ◽  
pp. 526-533 ◽  
Author(s):  
E. Cuesta ◽  
J.M. Suarez-Mendez ◽  
S. Martinez-Pellitero ◽  
J. Barreiro ◽  
B.J. Alvarez ◽  
...  
Keyword(s):  
Structured Light ◽  
3D Scanning ◽  
Scanning System ◽  
Optical Feature ◽  
Feature Based ◽  
Metrological Evaluation

scholarly journals A Low-cost Multi Camera 3D Scanning System for Quality Measurement of Non-static Subjects

Procedia CIRP ◽  
2015 ◽  
Vol 28 ◽  
pp. 88-93 ◽  
Author(s):  
M. Pesce ◽  
L.M. Galantucci ◽  
G. Percoco ◽  
F. Lavecchia
Keyword(s):  
Low Cost ◽  
Quality Measurement ◽  
3D Scanning ◽  
Scanning System

Bioengineering Applications of 3D Scanning and Reconstruction Using a Depth Sensor

2015 ◽  
Vol 809-810 ◽  
pp. 920-925 ◽  
Author(s):  
Octavian Ciobanu
Keyword(s):  
3D Reconstruction ◽  
Real Time ◽  
3D Model ◽  
Low Cost ◽  
Structured Light ◽  
3D Scanning ◽  
Kinect Sensor ◽  
Depth Sensor ◽  
3D Surfaces

Paper approaches some characteristics and bioengineering applications of a handheld depth sensor for low-cost 3D scanning and reconstruction. The Kinect depth sensor used in this work was launched on June 2009 and was based around a gaming webcam peripheral. The Kinect sensor uses a structured light technique in order to develop real-time 3D surfaces. The 3D model of anatomic surface may have a lot of bioengineering applications. Some observations and comparisons are presented in connection with the scanning and 3D reconstruction of different anatomic surfaces.

scholarly journals Complete End-to-End Low Cost Solution to a 3D Scanning System with Integrated Turntable

2017 ◽  
Vol 9 (4) ◽  
pp. 39-55 ◽  
Author(s):  
Saed Khawaldeh ◽  
Tajwar Abrar Aleef ◽  
Usama Pervaiz ◽  
Vu Hoang Minh ◽  
Yeman Brhane Hagos
Keyword(s):  
Low Cost ◽  
3D Scanning ◽  
Scanning System ◽  
End To End

Building Three-Dimensional Scanner Based on Structured Light Technique Using Fringe Projection Pattern

2014 ◽  
Vol 14 (3) ◽  
Author(s):  
Hossein Rashidizad ◽  
Abdolreza Rahimi
Keyword(s):  
Low Cost ◽  
Structured Light ◽  
Three Dimensional ◽  
Digital Camera ◽  
Dimensional Accuracy ◽  
Gray Code ◽  
Fringe Projection ◽  
Three Dimensional Model ◽  
3D Scanner ◽  
Projection Pattern

This paper presents the design and construction of a low-cost active noncontact three-dimensional (3D) scanner using the structured light method. The applied method is a generalization of the triangulation technique using a fringe projection pattern (by Gray code technique) to achieve a higher operating speed. The hardware equipment includes a single digital camera and a video projector. matlab was used for the calibration operation, the production of images by the above method, the image processing, and data calculation; while the Geomagic Qualify software was used to estimate the accuracy of the three-dimensional model obtained after scanning and to compare it with the tested object. Regarding the point cloud of the test object, the results demonstrate the precision of the used method and the possibility of developing a 3D scanner with a dimensional accuracy of ±0.05 mm.

Effect of Scanning Depth of Field on the Measurement Noises of Developed Fringe Projection 3D Scanning System

2014 ◽  
Vol 624 ◽  
pp. 322-326 ◽  
Author(s):  
Hossein Rashidizad ◽  
Abdolreza Rahimi
Keyword(s):  
Measurement Error ◽  
Digital Camera ◽  
Measurement Noise ◽  
Depth Of Field ◽  
Scanning System ◽  
3D Scanner ◽  
Video Projector ◽  
Projected Image ◽  
Light Pattern ◽  
Image Pattern

In this paper, some tests was performed to evaluate the effect of scanning depth of field on the measurement error and the density of the point cloud obtained from the developed non-contact 3D scanner by measurement error of about ±0.05mm, which was taken from a single digital camera and a 3LCD video projector as a source projecting the structured light pattern. To perform this analysis, the scanning depth changes occurred in steps. However, due to the effect that the video projector focus has on the sharpness of the projected image pattern and consequently the measurement noise created, the tests were repeated again with the change in focus at every step. The experimental results suggest the need to define the optimum scanning depth (less than 60cm), to provide a stable and acceptable precision, and shows the great effect of scanning depth of field and sharpness of the projected pattern on the amount of measurement noise and density of the points cloud.

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