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Structured Light Measurement Research Based on Symbol M-array

Author: HuangChunMing
Tutor: LuJun
School: Harbin Engineering University
Course: Control Theory and Control Engineering
Keywords: structured light symbol M-array codification de-codification 3-D detection
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 39
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Abstract


Structured light measurement is a branch of computer vision; it becomes the researchhotspot in recent years.But the structured light technology still suffered limited, for example,color structured light will be affected by color light, so that it cannot completely correctdecoding,bringing error, And a lot of structured light technology cannot be applied to dynamicscene. Structured light technique is a branch of computer vision by utilizing a projectorinstead of one camera in binocular stereovision; it can be classified into three categoriesaccording to the coding of the projected pattern: time coding, spatial coding and direct coding.So the spatial encoding pattern based on M-array is studied in this thesis. Use the M-array hasthe characteristic of code uniqueness, so it can resolve the difficulty of hard stereo matching,and fulfill3D detection with a one-shot pattern. The method is high efficient and easyrealization.Symbol array coding and decoding is studied in the thesis, the codification of structuredlight pattern and the decodification of symbol image affect the detection success ration,resolution, robustness and precision. The main work is as follows:First, the great size M-array which is suitable for vision measurement is studied.M-arrayis the foundation of coding pattern, the larger M-array size is, the more symbols which areprojected by unit area, the higher the measuring resolution, and the measurement precision isimproved correspondingly at the same time. Be aimed at M-arrays generated by diagonal linecan not get the larger M-arrays which are suitable for vision measuring.If only simplytogether the several subarrays which are extracted from the M-arrays generated by diagonalline, and the unique of the window could not be ensured for all gap windows. The generationof array would not be a strictly M-array. So a generating method for large M-array which issuitable for vision measuring is studied in this thesis.Second, coding medthod of symbol M-array is studied.The coding pattern of M-array isrealized by using binary symbols. The coding pattern has a good decoding accuracy owe tousing monochromatic light projection, having good noise rejection ability and globally codeuniqueness.Finally, the processing and decoding method is taken for the captured symbol M-arrayencoded image.Based on the captured image, through processing image, recognizing,neighborhood searching, pattern is decoded, and used3D reconstruction. Determine the position of the windows in project pattern is fulfilled by the windows uniqueness.Thecoordinate matrix is obtained and3D reconstruction is fullfilled. Experimental results verifythe validity of the proposed method.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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