A Color Structured Light Coding and Decoding Method Based on Regional Structured Image with Heterogeneous Applications

نویسندگان

  • Tiezheng Sun
  • Baoxing Bai
  • Cheng Han
  • Zejia Dong
چکیده

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.

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تاریخ انتشار 2016