HOME: Robust Hough-space Matching Method for Structured and Textureless Videos
- Published
- Source
- arXiv
- Paper number
- 754
- Field
- Computer Vision
- arXiv ID
- 2607.25389
Key points
- It uses the maxima in Hough space as keypoints to achieve stable feature-point detection on straight-line structures.
- A one-dimensional radial descriptor mathematically guarantees rotation and translation invariance, which removes the need for separate orientation estimation.
- It is training-free and outperforms line-segment matching methods based on LSD and LBD on every metric.
- It runs in real time at 16.5 ms total, and although the Hough transform takes most of the time, 7.7 ms, it can be improved with GPU acceleration.
- It remains robust even on nearly textureless images with alpha equal to 0.95, finding more than 400 inlier matches.
Paper links
External research summaries. These are not HDATF publications or measured product results.