RenderNet: Visual Relocalization Using Virtual Viewpoints in Large-Scale Indoor Environments

no code implementations • 26 Jul 2022 • Jiahui Zhang, Shitao Tang, Kejie Qiu, Rui Huang, Chuan Fang, Le Cui, Zilong Dong, Siyu Zhu, Ping Tan

Visual relocalization has been a widely discussed problem in 3D vision: given a pre-constructed 3D visual map, the 6 DoF (Degrees-of-Freedom) pose of a query image is estimated.

Image Retrieval Retrieval +1

AR Mapping: Accurate and Efficient Mapping for Augmented Reality

no code implementations • 27 Mar 2021 • Rui Huang, Chuan Fang, Kejie Qiu, Le Cui, Zilong Dong, Siyu Zhu, Ping Tan

Secondly, we propose an AR mapping pipeline which takes the input from the scanning device and produces accurate AR Maps.

Estimating Metric Poses of Dynamic Objects Using Monocular Visual-Inertial Fusion

no code implementations • 21 Aug 2018 • Kejie Qiu, Tong Qin, Hongwen Xie, Shaojie Shen

By introducing an additional constraint in the time domain, our monocular visual-inertial tracking system can obtain continuous six degree of freedom (6-DoF) pose estimation without scale ambiguity.

3D Object Tracking Object +2