As an efficient and reliable method in 3D reconstruction and active measurement, structured light vision technology is being more and more important. Structured light vision technology by one or more image coding pattern projection to measure the scenario, and with the position of the projection direction at an angle with the camera intake scene projection image, and then match the projected image and the code pattern corresponding points using trigonometric obtain a 3D scene information. In order to achieve accurate projection image and coding pattern matching, on the one hand need effective structured light coding method, on the other hand, it is necessary to use a variety of image processing method to accurately locate the position of the projection image feature points. In this paper, a color structured light coding and decoding method based on topology structured and regional structured model is proposed. Finally, the methods for extracting encoded feature points based on waveform analysis and for classifying colors based on clustering analysis are developed. The result of the experiment has shown that the proposed method has good performance for the structured light vision system.
목차
Abstract 1. Introduction 2. Coding Method 3. Decoding Method 3.1. Feature Point Extraction Method Based on Waveform Analysis 3.2. Color Classification Based on Cluster Analysis 3.3. Coding Feature Point Matching 4. Experiment 4.1. 3D Reconstruction System 4.2. Result and Analysis 5. Conclusions Acknowledgements References
키워드
Color Structured LightRegional Structured Image3D ReconstructionClustering Analysis
저자
Tiezheng Sun [ School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China, School of Management Science and information Engineering, Jilin University of Finance and Economics, Changchun, China, Jilin Province Key Laboratory of Internet Fintech, Jilin University of Finance and Economics, Changchun, China ]
Baoxing Bai [ School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China ]
Cheng Han [ School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China ]
Corresponding author
Zejia Dong [ School of Management Science and information Engineering, Jilin University of Finance and Economics, Changchun, China ]
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.7