Dissertation > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Machine-assisted technology > Machine -aided design (CAD), aided drawing

The Orientation and Measure of Dimensional Point Based on Stereo Projection

Author WangFuJun
Tutor YouBuDong
School Nanchang University
Course Mechanical Design and Theory
Keywords Stereological projection Camera Calibration Corresponding points matching Spatial orientation Distance measurement
CLC TP391.72
Type Master's thesis
Year 2006
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With the development of computer technology , the graphics have been given a broad space for development . Especially in the range of graphics applications is becoming increasingly wide application of high frequency is also increasing . Which , CAD / CAM computer graphics is the most widely used in the industrial sector , the most active areas of application , the CAD field a very important area of ??research is based on the three-dimensional shape reconstruction of engineering drawings . Three-dimensional shape reconstruction is to extract three-dimensional information from two-dimensional image , a series of processing these information classification , comprehensive , and reconstruct the three-dimensional shape of the corresponding two-dimensional information in three-dimensional space , restore the physical point , line, surface their topological relations . The core idea of the research is based Stereo projection principle , positioning and measurement space point , the main method is to use a dual- camera to simulate the human eyes , the left and right two -dimensional imaging of three-dimensional space point positioning to achieve a measurement of the distance between two points . To achieve this goal , you must complete two work the camera calibration and the corresponding point of the match . Own design vision sensor cameras inside and outside the parameters of calibration , the calibration method is more simple compared to the previous studies ; spatial points in the two images imaging point of the match is also a research focus and difficulty , the article raised a combined use of the module matches and epipolar constraint composite matching method , this algorithm and simulated by Matlab software . Finally, this approach through experiments carried out validation, comparative analysis of their strengths and weaknesses , and put forward suggestions and ideas and research directions for future issues .

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