12 January 2018 Keyhole imaging method for dynamic objects behind the occlusion area
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Abstract
A method of keyhole imaging based on camera array is realized to obtain the video image behind a keyhole in shielded space at a relatively long distance. We get the multi-angle video images by using a 2×2 CCD camera array to take the images behind the keyhole in four directions. The multi-angle video images are saved in the form of frame sequences. This paper presents a method of video frame alignment. In order to remove the non-target area outside the aperture, we use the canny operator and morphological method to realize the edge detection of images and fill the images. The image stitching of four images is accomplished on the basis of the image stitching algorithm of two images. In the image stitching algorithm of two images, the SIFT method is adopted to accomplish the initial matching of images, and then the RANSAC algorithm is applied to eliminate the wrong matching points and to obtain a homography matrix. A method of optimizing transformation matrix is proposed in this paper. Finally, the video image with larger field of view behind the keyhole can be synthesized with image frame sequence in which every single frame is stitched. The results show that the screen of the video is clear and natural, the brightness transition is smooth. There is no obvious artificial stitching marks in the video, and it can be applied in different engineering environment .
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Conghui Hao, Conghui Hao, Xi Chen, Xi Chen, Liquan Dong, Liquan Dong, Yuejin Zhao, Yuejin Zhao, Ming Liu, Ming Liu, Lingqin Kong, Lingqin Kong, Mei Hui, Mei Hui, Xiaohua Liu, Xiaohua Liu, Hong Wu, Hong Wu, } "Keyhole imaging method for dynamic objects behind the occlusion area", Proc. SPIE 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 106200Y (12 January 2018); doi: 10.1117/12.2286253; https://doi.org/10.1117/12.2286253
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