Vision-Based Metric Measurement for Large-Scale Planar Scenes
A recent study published on arXiv (2605.26475) examines three vision-based techniques for measuring metric distances and areas in expansive outdoor settings, specifically within a real-world reservoir monitoring context utilizing PTZ cameras. The techniques assessed include geometry-based monocular ranging, image stitching combined with birds-eye-view transformation, and stereo-based ranging that employs two calibrated monocular cameras. The research derives planar localization models from camera geometry and evaluates the influence of camera pitch angle on monocular ranging. Additionally, image stitching is explored for extensive area mapping, while a stereo-based method is introduced for long-distance measurement without the need for specialized stereo equipment. Results indicate distinct trade-offs: monocular ranging offers meter-level precision at larger pitch angles, whereas stereo-based ranging provides decimeter-level accuracy.
Key facts
- Study compares three vision-based metric measurement approaches for large-scale planar scenes
- Real-world reservoir monitoring scenario using PTZ cameras
- Methods: geometry-based monocular ranging, image stitching with birds-eye-view transformation, stereo-based ranging
- Monocular ranging achieves meter-level accuracy under sufficiently large pitch angles
- Stereo-based ranging achieves decimeter-level accuracy
- Image stitching investigated for large-area mapping
- Stereo scheme developed for long-range measurement without dedicated stereo hardware
- arXiv paper number: 2605.26475
Entities
Institutions
- arXiv