Mr. Yuchi Pu Profile

Yuchi Pu

at Chang'an Univ.

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Publications (2)

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Proceedings Article | 15 December 2022 Paper

Epipolar image generation on vehicle-based sequence images based on fundamental matrix

Fuqiang Zhang, Chaofeng Ren, Yuhang Jiao, Yuchi Pu

Proceedings Volume 12478, 124782Y (2022) https://doi.org/10.1117/12.2654789

KEYWORDS: Image resolution, Image processing, Roads, Photography, Feature extraction, Cameras, 3D image processing

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In the process of 3D information extraction using sequence images collected by vehicle-based mobile measurement system, epipolar image eliminates the vertical disparity of image pairs. Furthermore, it converts the search area of the correspondences from two-dimensional plane to one-dimensional line in dense matching, thus improving the matching accuracy and efficiency. However, unlike the nearly horizontal epipolar lines of aerial images, the epipolar lines of the vehicle-based sequence image pairs are distributed radially on the images, which makes it difficult for the vehicle-based sequence images to generate epipolar images. To solve the above problems, the fundamental matrix is used to determine the geometrical relation of the image pair to epipolar line. Then the epipolar image is generated by the fan-shaped circular epipolar model. First, high-precision correspondences are obtained by sparse matching for fundamental matrix estimation. Then we use the fundamental matrix to map the nuclear line quickly and determine the region of the epipolar line. At last, the image of the epipolar line area is resampled by bilinear interpolation in the direction of the epipolar line. Experiments were conducted using multiple sets of vehicle-based sequence images, and the average vertical disparity of the correspondences of the generated epipolar image is 0.63 pixels. The results show that the vertical disparity of the epipolar image generated by the proposed method is smaller, which verifies the correctness of the process.

Proceedings Article | 15 December 2022 Paper

Calibration method of relative pose between monopulse rangefinder and visible light array camera

Yuchi Pu, Chaofeng Ren, Yuhang Jiao, Fuqiang Zhang

Proceedings Volume 12478, 1247827 (2022) https://doi.org/10.1117/12.2654717

KEYWORDS: Cameras, Calibration, Infrared cameras, Information fusion

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The fusion of monopulse laser rangefinder and optical camera information requires the acquisition of their relative pose and attitude parameters. This paper focuses on the relative pose calibration of monopulse laser rangefinder (MLRF) and visible light array camera. Two calibration methods are proposed. The image plane of the infrared camera and the physical plane whose pose of the visible array camera is known are locally registered to solve the difficulty of the calibration of the laser spot relative to the invisible of the visible array camera. Then evaluate the stability of the pose solution of exceed the calibration distance. The experimental results show that the reprojection error of the relative pose solution obtained by finite number of measurements is less than 1 pixel. The position error within the calibration distance is less than 4 mm; Beyond the calibration distance, the position error increases by less than 3 mm for per 10 m.

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