1/3/2023 0 Comments Ipi mocap studio rbg![]() ![]() When the kernel radius is large, however, the TheĬonstant time property is essential for edge-preserving filtering. Of edge-preserving filtering, and the computational time is constant to the size of the filtering kernel. ![]() We present high-dimensional filtering for extending guided image filtering. We demonstrate the advantages of the proposed method with qualitative and quantitative evaluations using synthesized and real data. Besides, in order to make our method robust to observation noise, we minimize the reprojection error while maintaining the valid 3D geometry of the solution based on the derived linear equation. The second idea is to use basis vectors to represent the position of the reference points, which enables us to deal with 3D information of reference points compactly. The first is to model the cornea as a virtual sphere, which enables us to estimate the center of the cornea sphere from its projection. In this paper, we derive a linear equation and obtain a closed-form solution of extrinsic calibration by introducing two key ideas. The main contribution of this paper is to present a cornea-reflection-based calibration algorithm with minimal configuration there are five reference points on a single plane and one mirror pose. We use the spherical human cornea as a mirror and calibrate the extrinsic parameters from the reflections of the reference points. In this paper, we propose a novel method to extrinsically calibrate a camera to a 3D reference object that is not directly visible from the camera. Kosuke Takahashi, Dan Mikami, Mariko Isogawa and Akira Kojima Full Papers Short Papers Posters Area 1 - Image Formation and Preprocessing Full Papers Paper Nr:Ĭornea-reflection-based Extrinsic Camera Calibration without a Direct View ![]()
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