Experimental Comparison of Wide Baseline Correspondence Algorithms for Multi Camera Calibration
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Summary
This paper compares the point correspondences produced by several interest point detectors, descriptors and matching algorithms and evaluates the correspondences based on the accuracy of relative pose estimation and multi camera calibration.
- Type
- article
- Published
- 2009-01-01
- Cited by
- 3
- References
- 22
- Access
- Open access
- OpenAlex
- https://openalex.org/W4802747
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:16098932
Keywords
Baseline (sea), Calibration, Computer science, Algorithm, Artificial intelligence
References
- A NEW RELIABILITYMEASURE FOR ESSENTIAL MATRICES SUITABLE IN MULTIPLE VIEWCALIBRATION
- Experimental Evaluation of Relative Pose Estimation Algorithms
- A Comparison of Affine Region Detectors
- The Design and Use of Steerable Filters
- Wide Baseline Stereo Matching based on Local, Affinely Invariant Regions
- MLESAC: A New Robust Estimator with Application to Estimating Image Geometry
- Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
- Global Uncertainty-based Selection of Relative Poses for Multi Camera Calibration
- Feature Detection with Automatic Scale Selection
- A Combined Corner and Edge Detector
- Recent developments on direct relative orientation
- Distinctive Image Features from Scale-Invariant Keypoints
- A Flexible New Technique for Camera Calibration
- Robust Rotation and Translation Estimation in Multiview Reconstruction
- Distinctive Image Features from Scale-Invariant Keypoints Abstract by Matthijs Dorst Based on the paper by
- Pixel-to-Pixel Matching for Image Recognition Using Hungarian Graph Matching
- GLOBAL UNCERTAINTY IN EPIPOLAR GEOMETRY VIA FULLY AND PARTIALLY DATA-DRIVEN SAMPLING
- An open implementation of the SIFT detector and descriptor
- Affine/ Photometric Invariants for Planar Intensity Patterns
- A New Reliability Measure for Essential Matrices Suitable in Multiple View Calibration
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