1 code implementation • 2 Mar 2024 • Guangyang Zeng, Qingcheng Zeng, Xinghan Li, Biqiang Mu, Jiming Chen, Ling Shi, Junfeng Wu
Given 2D point correspondences between an image pair, inferring the camera motion is a fundamental issue in the computer vision community.
no code implementations • 7 Feb 2023 • Guangyang Zeng, Biqiang Mu, Ling Shi, Jiming Chen, Junfeng Wu
Based on the preliminary consistent location estimate, a one-step GN iteration suffices to achieve the same asymptotic property as the ML estimator.
1 code implementation • 13 Sep 2022 • Guangyang Zeng, ShiYu Chen, Biqiang Mu, Guodong Shi, Junfeng Wu
The Perspective-n-Point (PnP) problem has been widely studied in both computer vision and photogrammetry societies.
no code implementations • 31 Mar 2022 • Guangyang Zeng, Biqiang Mu, Jiming Chen, Zhiguo Shi, Junfeng Wu
In terms of whether the variance of measurement noises is known or not, we propose the Bias-Eli estimator (which involves solving a generalized trust region subproblem) and the Noise-Est estimator (which is obtained by solving a convex problem), respectively.
no code implementations • 22 Apr 2021 • Guangyang Zeng, Xiaoqiang Ren, Junfeng Wu
We consider a multi-stage distributed detection scenario, where $n$ sensors and a fusion center (FC) are deployed to accomplish a binary hypothesis test.