Search Results for author: Fangwen Shu

Found 6 papers, 3 papers with code

ECRF: Entropy-Constrained Neural Radiance Fields Compression with Frequency Domain Optimization

no code implementations23 Nov 2023 Soonbin Lee, Fangwen Shu, Yago Sanchez, Thomas Schierl, Cornelius Hellge

Furthermore, to achieve a higher level of sparsity, we propose using an entropy parameterization technique for the frequency domain, specifically for DCT coefficients of the feature-grid.

Structure PLP-SLAM: Efficient Sparse Mapping and Localization using Point, Line and Plane for Monocular, RGB-D and Stereo Cameras

1 code implementation13 Jul 2022 Fangwen Shu, Jiaxuan Wang, Alain Pagani, Didier Stricker

One of the biggest challenges in parallel tracking and mapping with a monocular camera is to keep the scale consistent when reconstructing the geometric primitives.

Camera Localization Pose Tracking

Visual SLAM with Graph-Cut Optimized Multi-Plane Reconstruction

1 code implementation9 Aug 2021 Fangwen Shu, Yaxu Xie, Jason Rambach, Alain Pagani, Didier Stricker

This paper presents a semantic planar SLAM system that improves pose estimation and mapping using cues from an instance planar segmentation network.

Homography Estimation Pose Estimation

SLAM in the Field: An Evaluation of Monocular Mapping and Localization on Challenging Dynamic Agricultural Environment

no code implementations2 Nov 2020 Fangwen Shu, Paul Lesur, Yaxu Xie, Alain Pagani, Didier Stricker

This paper demonstrates a system capable of combining a sparse, indirect, monocular visual SLAM, with both offline and real-time Multi-View Stereo (MVS) reconstruction algorithms.

Autonomous Vehicles Depth Estimation

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