Research map / 3D vision / Depth and stereo
Unsupervised Vanishing Point Detection and Camera Calibration From a Single Manhattan Image With Radial Distortion
Check your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use LCC-based joint vanishing-point estimation and calibration instead of fitting circles first | R7C · York Urban Database (102 images with artificially added radial distortion) | relative calibration-parameter error | Helped |
| Estimate the distortion center rather than fixing it at the image center | R7C · Dataset from [21] (102 images with radial distortion) | radial-distortion estimation error | Helped |
| Estimate the distortion center rather than fixing it at the image center | R7C · Dataset from [21] (102 images with radial distortion) | focal-length estimation error | Helped |
| Add non-linear refinement of the calibration parameters (ablation) | R7C · York Urban Database (102 images with artificially added radial distortion) | relative calibration-parameter error | No clear effect |
| Use a 7-LCC minimal sample rather than a 5-line minimal solution | R7C · Dataset from [21] (102 images with radial distortion) | RANSAC hypotheses evaluated: 120k hypotheses -> 650k iterations | Hurt |
Closest papers by meaning
- Camera Resection from Known Line Pencils and a Radially Distorted Scanline (CVPR 2025 · similarity 0.84)
- PRaDA: Projective Radial Distortion Averaging (CVPR 2025 · similarity 0.84)
- Unbiased Estimator for Distorted Conics in Camera Calibration (CVPR 2024 · similarity 0.84)
- DiskVPS: Vanishing Point Detector via Hough Transform in a Disk Region (CVPR 2025 · similarity 0.83)
- Deep Single Image Camera Calibration by Heatmap Regression to Recover Fisheye Images Under Manhattan World Assumption (CVPR 2024 · similarity 0.83)
- Convex Relaxation for Robust Vanishing Point Estimation in Manhattan World (CVPR 2025 · similarity 0.82)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.