Research map / Learning theory and algorithms / Combinatorial and search optimization
Geometric Multi-Model Fitting With a Convex Relaxation Algorithm
Read the paperCheck 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 CORAL instead of Multi-H for multi-homography fitting | Multi-homography fitting · AdelaideRmf | mean ME: 4.40 -> 4.2117 | Helped |
| Use CORAL instead of Multi-H for multi-homography fitting | Multi-homography fitting · AdelaideRmf | median ME: 2.41 -> 3.48 | Hurt |
| Use CORAL instead of PEARL for plane detection | RGB-D plane detection · NYU-Depth test set | ME: 23.04 -> 18.99 | Helped |
| Use CORAL instead of RANSAC for plane detection | RGB-D plane detection · NYU-Depth test set | ME: 29.38 -> 18.99 | Helped |
| Use CORAL instead of PEARL for plane detection | RGB-D plane detection · NYU-Depth Image 4 | ME: 7.77 -> 7.83 | Hurt |
| Use global energy fitting rather than RANSAC | Multi-homography fitting · Simulated data with increasing sensor noise | ME | Helped |
| Use energy-based fitting rather than RANSAC at low outlier percentages | Multi-homography fitting · Simulated data with outlier percentage < 60% | ME | Helped |
| Use CORAL rather than PEARL at high outlier percentages | Multi-homography fitting · Simulated data with high outlier percentages | ME | No clear effect |
Closest papers by meaning
- MultiLink: Multi-Class Structure Recovery via Agglomerative Clustering and Model Selection (CVPR 2021 · similarity 0.88)
- PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus (AAAI 2024 · similarity 0.87)
- Finding Geometric Models by Clustering in the Consensus Space (CVPR 2023 · similarity 0.86)
- Gaussian Uncertainty-Driven Multi-Model Fitting with Graph Neural Network (AAAI 2026 · similarity 0.86)
- Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization (NeurIPS 2024 · similarity 0.84)
- Revisiting Sampson Approximations for Geometric Estimation Problems (CVPR 2024 · similarity 0.84)
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.
