Search Results for author: Guangyang Zeng

Found 5 papers, 2 papers with code

Consistent and Asymptotically Statistically-Efficient Solution to Camera Motion Estimation

1 code implementation2 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.

Motion Estimation

Consistent and Asymptotically Efficient Localization from Range-Difference Measurements

no code implementations7 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.

CPnP: Consistent Pose Estimator for Perspective-n-Point Problem with Bias Elimination

1 code implementation13 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.

Global and Asymptotically Efficient Localization from Range Measurements

no code implementations31 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.

Position

Low-complexity Distributed Detection with One-bit Memory Under Neyman-Pearson Criterion

no code implementations22 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.

Decision Making

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