Paper
29 August 2016 A feature point extraction method based on the continuity of laser stripe pixels
Na Wang, YiKun Zhang, Hao Chen, Kai Wang, Hui Xia
Author Affiliations +
Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100333A (2016) https://doi.org/10.1117/12.2246100
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China
Abstract
In view of the problem that there are some defects such as poor noise immunity, poor stability, large amount of computation and high redundancy of target feature extraction method in three-dimensional(3D) reconstruction, an accurate and rapid method of extracting laser stripe was put forward according to the continuity of laser stripe pixels in this paper, which references the theoretical characteristics of structure laser and binocular vision, and uses the laser stripe projected onto the surface of the measured object as feature. Through repeated experiments and theoretical analysis comparison, the results show that the method has a great improvement in the accuracy, precision and computational efficiency of extracting laser stripe.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Na Wang, YiKun Zhang, Hao Chen, Kai Wang, and Hui Xia "A feature point extraction method based on the continuity of laser stripe pixels", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100333A (29 August 2016); https://doi.org/10.1117/12.2246100
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Cited by 1 scholarly publication.
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KEYWORDS
Feature extraction

Image processing

Detection and tracking algorithms

3D modeling

Laser stabilization

Laser processing

Image filtering

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