Paper · ≈ 1 min read
Direct Sparse Odometry
Outgoing relations
- addresses → Visual SLAM (ResearchTopic)
- part_of → 3D/4D Vision and Reconstruction (ResearchField)
- uses_metric → Accuracy (Metric)
- uses_metric → LPIPS (Metric)
- uses_metric → PSNR (Metric)
- uses_metric → SSIM (Metric)
Connected node types
- Metric: 4
- ResearchField: 1
- ResearchTopic: 1
Mentions in the corpus
- part_of Evidence: --- type: Paper arxiv: "1607.02565" arxiv_url: https://arxiv.org/abs/16…
- mentioned_in Claim: --- type: Paper arxiv: "1607.02565" arxiv_url: https://arxiv.org/abs/1607.02565 title: "Direct…
- part_of Evidence: We propose a novel direct sparse visual odometry formulation.
- part_of Evidence: The experiments show that the presented approach significantly outperfo…
- part_of Evidence: This is achieved in real time by omitting the smoothness prior used in…
- part_of Evidence: DSO outperforms both ORB-SLAM-style indirect baselines and prior direct…
- summarizes Project Pulse
- synthesizes Topic — Visual SLAM
- summarizes Topic — Visual SLAM
- summarizes Field Overview — 3D/4D Vision and Reconstruction
Cross-references in raw data
Source provenance
examples/demo-corpus/data/research/papers/arxiv-1607-02565/abstract.md