Research on the multi-criteria combination in automatic recognition of marking points

Yan An; Keyan Dong

doi:10.1117/12.2070685

24 November 2014 Research on the multi-criteria combination in automatic recognition of marking points

Yan An, Keyan Dong

Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 93010X (2014) https://doi.org/10.1117/12.2070685
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

Abstract

Objective: In the field of computer vision, the technology for the automatic recognition of coded pattern plays an important basic role in the camera calibration process of intrinsic and extrinsic parameters, the binocular image matching process and the three-dimensional reconstruction process. Therefore, in the measurement processing, the successive rate for the automatic recognition of coded pattern must be guaranteed. Method: According to analyzing the geometric information of the coded pattern (the mixed type) and basing on the existing recognition method, a new automatic recognition method is proposed, which is the effective method to solve the multi-points recognition in single image by taking the multi-feature information of the coded pattern as the recognition criteria. Result: Both the new recognition method and the old recognition method are used in identifying the one hundred coded pattern which have been actually collected. The experimental result shows that, not only the new recognition method can achieve accurate identification of coded pattern with the recognition accuracy rate of 100%, but also its processing speed is 2.38 times faster than that in the old recognition method. Conclusion: It is obvious that there are many advantages in the new automatic recognition method, including the high effective recognition, the faster executive speed and independent on the auxiliary decoding process information. The new recognition method of multi-criteria combination can provide a strong guarantee for the realization of every aspect in the work of photogrammetry.

Citation Download Citation

Yan An and Keyan Dong "Research on the multi-criteria combination in automatic recognition of marking points", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93010X (24 November 2014); https://doi.org/10.1117/12.2070685

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KEYWORDS

Image processing

Cameras

Photogrammetry

3D image reconstruction

Computer vision technology

Machine vision

Binary data

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