運用新式立體視覺演算法於面型及線型攝影機三維模型重建技術之研究

陳建宏

doi:10.6840/cycu201700045

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运用新式立体视觉演算法於面型及线型摄影机三维模型重建技术之研究

A Study on Three-Dimensional Model Reconstruction Technology for Area and Line Cameras Using a Novel Stereovision Algorithm

陈建宏 , 博士　　导师：陈冠宇　　

繁体中文 DOI： 10.6840/cycu201700045

立体视觉；机器视觉；半全域匹配；三维重建；线型扫描摄影机； stereovision ； machine vision ； semi-global matching (SGM) ； three-dimensional reconstruction ； line-CCD camera

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摘要 │ 参考文献 (62) │ 国际计量

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In order to integration the image processing, optical equipment and automation technology on automated optical inspection. Provide high speed, high efficiency, high stability, and high repeatability is indispensable part of automated production on non-contact detection. In recent years, most AOI detection technology is about the application of 2D planar imaging. It is expected that: When the computer hardware computing efficiency is getting better, detect of the object will no longer be limited on plane, we need to measure the surface depth of object comprehensively, Therefore, the AOI system based on the three-dimensional detection will become popular. Area cameras are used in today's AOI system for image capture and analysis widely. However, the smaller workpiece size and higher precision grade are required, accuracy and processing speed of AOI system also need to be upgraded, resolution and capture speed on area cameras may not fulfill the requirements of the production line. To promote the ability on AOI system, using line camera could be an effective solution because of its high-resolution and high-speed Image capture. Therefore, this paper proposes a three-dimensional image reconstruction technique for linear cameras based on a novel stereovision algorithm to obtain more accurate three-dimensional image model. First, the paper construct the surface type and line type camera composed of stereo vision image capture system, respectively. Then correct left and right image. Finally, combined with novel stereovision algorithm and compare three kinds of depth matching method: Semi-Global Matching algorithm, Local Feature Matching, Grapth Cuts algorithm. Reconstruction three-dimensional model, respectively. Analyzing and compare the result, then find the best three-dimensional image reconstruction model. According to the experimental results, the results of this paper are as follows: The first we reconstruct the 360° three-dimensional model by two pairs CCD cameras shooting front and behind the target, and use Semi-Global Matching (SGM) algorithm compute the depth of target. The second combine Semi-Global Matching (SGM) algorithm with novel stereovision algorithms and use non-uniform spacing of discrete depth level error correction and affine space warping error correction to fix the depth of target. The third construct a detection system to simulate the production line and reconstruct the 3D model of target by two line-CCD camera

参考文献 ( 62 ) 〈TOP〉

[1] Z. N. Li, and G. Hu, “Analysis of Disparity Gradient Based Cooperative Stereo,” IEEE Transactions on Image Processing, Vol. 5, No. 11, pp. 1493-1506, 1996.
连结：
[2] D. Nitzan, “Three-Dimensional Vision Structure for Robot Applications,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 10, No. 3, pp. 291-309, 1988.
连结：
[4] D. Marr and T. Poggio, “Cooperative computation of stereo disparity,” Science, Vol. 194, pp. 283-287, 1976.
连结：
[5] S. T. Barnard and W. B. Thompson, “Disparity analysis of images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-2, No. 4, pp. 330-340, 1980.
连结：
[8] R. Y. Tsai, “A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses,” IEEE Journal of Robotics and Automation, Vol. 3, No. 4, pp. 323-344, 1987.
连结：

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使用DOI作为永久连结

引用含有DOI的文献

DOI可强化引用精确性、增强学术圈连结，并给予使用者跨平台的良好使用经验，目前在全世界已有超过五千万个对象申请DOI。 如想对DOI的使用与概念有进一步了解，请参考 （ ） 。

DOI可强化引用精确性、增强学术圈连结，并给予使用者跨平台的良好使用经验，目前在全世界已有超过五千万个对象申请DOI。如想对DOI的使用与概念有进一步了解，请参考（）。