Estimation of surface normal vectors based on 3D scanning from heating approach

2012 ◽  
Author(s):  
Olivier Aubreton ◽  
Gonen Eren ◽  
Youssef Bokhabrine ◽  
Alban Bajard ◽  
Frederic Truchetet
Keyword(s):  
3D Scanning ◽  
Surface Normal ◽  
Normal Vectors

scholarly journals Stereo Camera Head-Eye Calibration Based on Minimum Variance Approach Using Surface Normal Vectors

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3706 ◽  
Author(s):  
Joong-Jae Lee ◽  
Mun-Ho Jeong
Keyword(s):  
Vision System ◽  
Real Data ◽  
Humanoid Robots ◽  
Calibration Method ◽  
Minimum Variance ◽  
Kinematic Data ◽  
Stereo Camera ◽  
Surface Normal ◽  
Normal Vectors ◽  
Variance Approach

This paper presents a stereo camera-based head-eye calibration method that aims to find the globally optimal transformation between a robot’s head and its eye. This method is highly intuitive and simple, so it can be used in a vision system for humanoid robots without any complex procedures. To achieve this, we introduce an extended minimum variance approach for head-eye calibration using surface normal vectors instead of 3D point sets. The presented method considers both positional and orientational error variances between visual measurements and kinematic data in head-eye calibration. Experiments using both synthetic and real data show the accuracy and efficiency of the proposed method.

The Modified Surface-Normal Vectors in the Physical Optics

2008 ◽  
Vol 56 (12) ◽  
pp. 3714-3722 ◽  
Author(s):  
Tetsu Shijo ◽  
Luis Rodriguez ◽  
Makoto Ando
Keyword(s):  
Physical Optics ◽  
Surface Normal ◽  
Modified Surface ◽  
Normal Vectors

Photogrammetry: An Available Surface Characterization Tool for Solar Concentrators, Part II: Assessment of Surfaces

1997 ◽  
Vol 119 (4) ◽  
pp. 286-291 ◽  
Author(s):  
M. Shortis ◽  
G. Johnston
Keyword(s):  
Gaussian Distribution ◽  
Surface Characterization ◽  
Flux Distribution ◽  
Focal Point ◽  
Three Dimensional ◽  
Close Correlation ◽  
Solar Concentrators ◽  
Surface Normal ◽  
Normal Vectors ◽  
Reflecting Surfaces

In a previous paper, the results of photogrammetric measurements of a number of paraboloidal reflecting surfaces were presented. These results showed that photogrammetry can provide three-dimensional surface characterisations of such solar concentrators. The present paper describes the assessment of the quality of these surfaces as a derivation of the photogrammetrically produced surface coordinates. Statistical analysis of the z-coordinate distribution of errors indicates that these generally conform to a univariate Gaussian distribution, while the numerical assessment of the surface normal vectors on these surfaces indicates that the surface normal deviations appear to follow an approximately bivariate Gaussian distribution. Ray tracing of the measured surfaces to predict the expected flux distribution at the focal point of the 400 m2 dish show a close correlation with the videographically measured flux distribution at the focal point of the dish.

Nagata patch interpolation using surface normal vectors evaluated from the IGES file

2013 ◽  
Vol 72 ◽  
pp. 35-46 ◽  
Author(s):  
D.M. Neto ◽  
M.C. Oliveira ◽  
L.F. Menezes ◽  
J.L. Alves
Keyword(s):  
Surface Normal ◽  
Normal Vectors

On-road Object Validation using Surface Normal Vectors in Stereo Vision for ADAS

2018 ◽  
Vol 24 (10) ◽  
pp. 987-997
Author(s):  
Tae-Kang Woo ◽  
Hui-eun Kim ◽  
Young-Wan Lee ◽  
Hakil Kim
Keyword(s):  
Stereo Vision ◽  
Surface Normal ◽  
Normal Vectors
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