Repo

ABot-Recon

Performs long-horizon streaming 3D reconstruction from ordered images with a fixed 12-frame window and optional loop-closure pose-graph refinement.

GitHub ↗Aug 27, 2026

  • cv
  • 3d-reconstruction
  • streaming
  • visual-odometry
Comparative bar chart showing method beats baselines across accuracy, memory, and speed metrics
Comparative bar chart showing method beats baselines across accuracy, memory, and speed metrics

What it is

Streams monocular 3D reconstruction over long videos using only a fixed 12-frame context, then composes local geometry and adjacent poses into a global map. Reconstructs long image streams in one causal pass, predicting per-frame local point maps and adjacent poses, then composing them into a global trajectory and point cloud with optional loop-closure refinement.

Key results

  • Fixed 12-frame local context; no persistent learned long-range memory
  • 24.45 FPS and 6.71 GiB on KITTI-02 at 504×280 on NVIDIA H100
  • Oxford Spires: 4.35 m ATE, 0.12° RPE-R, 91.81% F1 dense recon

Shows long-horizon streaming reconstruction can be done with bounded local context plus pose composition, without learned long-range memory.

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