no code implementations • 19 Mar 2024 • Hongjia Zhai, Hai Li, Xingrui Yang, Gan Huang, Yuhang Ming, Hujun Bao, Guofeng Zhang
In this paper, we introduce Vox-Fusion++, a multi-maps-based robust dense tracking and mapping system that seamlessly fuses neural implicit representations with traditional volumetric fusion techniques.
1 code implementation • 15 Dec 2023 • Yuhang Ming, Jian Ma, Xingrui Yang, Weichen Dai, Yong Peng, Wanzeng Kong
We evaluate our AEGIS-Net on the ScanNetPR dataset and compare its performance with a pre-deep-learning feature-based method and five state-of-the-art deep-learning-based methods.
1 code implementation • 28 Oct 2022 • Xingrui Yang, Hai Li, Hongjia Zhai, Yuhang Ming, Yuqian Liu, Guofeng Zhang
In this work, we present a dense tracking and mapping system named Vox-Fusion, which seamlessly fuses neural implicit representations with traditional volumetric fusion methods.
1 code implementation • 21 Aug 2022 • Hai Li, Xingrui Yang, Hongjia Zhai, Yuqian Liu, Hujun Bao, Guofeng Zhang
Virtual content creation and interaction play an important role in modern 3D applications such as AR and VR.
no code implementations • 25 Mar 2022 • Xingrui Yang, Yuhang Ming, Zhaopeng Cui, Andrew Calway
It is well known that visual SLAM systems based on dense matching are locally accurate but are also susceptible to long-term drift and map corruption.
1 code implementation • 4 Feb 2022 • Yuhang Ming, Xingrui Yang, Guofeng Zhang, Andrew Calway
We describe a novel approach to indoor place recognition from RGB point clouds based on aggregating low-level colour and geometry features with high-level implicit semantic features.
1 code implementation • 5 Aug 2021 • Yuhang Ming, Xingrui Yang, Andrew Calway
During the map construction, we use a pre-trained neural network to detect objects and estimate 6D poses from RGB-D data.
no code implementations • 18 Jul 2018 • Rui Fan, Yanan Liu, Xingrui Yang, Mohammud Junaid Bocus, Naim Dahnoun, Scott Tancock
In this paper, we present a real-time stereo vision system used for road surface 3-D reconstruction.