English

Mono-STAR: Mono-camera Scene-level Tracking and Reconstruction

Robotics 2023-02-01 v1 Computer Vision and Pattern Recognition

Abstract

We present Mono-STAR, the first real-time 3D reconstruction system that simultaneously supports semantic fusion, fast motion tracking, non-rigid object deformation, and topological change under a unified framework. The proposed system solves a new optimization problem incorporating optical-flow-based 2D constraints to deal with fast motion and a novel semantic-aware deformation graph (SAD-graph) for handling topology change. We test the proposed system under various challenging scenes and demonstrate that it significantly outperforms existing state-of-the-art methods.

Keywords

Cite

@article{arxiv.2301.13244,
  title  = {Mono-STAR: Mono-camera Scene-level Tracking and Reconstruction},
  author = {Haonan Chang and Dhruv Metha Ramesh and Shijie Geng and Yuqiu Gan and Abdeslam Boularias},
  journal= {arXiv preprint arXiv:2301.13244},
  year   = {2023}
}

Comments

This paper has been accepted by ICRA2023

R2 v1 2026-06-28T08:27:23.725Z