A survey of image registration techniques
ACM Computing Surveys (CSUR)
International Journal of Computer Vision
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Robust Video Mosaicing through Topology Inference and Local to Global Alignment
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
High-Quality Real Time Motion Detection Using PTZ Cameras
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
Automatic Panoramic Image Stitching using Invariant Features
International Journal of Computer Vision
Markerless Augmented Reality Using Image Mosaics
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
Automatic Classification of Image Registration Problems
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
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Several image mosaicing algorithms claiming to advance the state of the art have been proposed so far. Though sometimes improvements can be recognised without quantitative evidences, the importance of a principled methodology to compare different algorithms is essential as this discipline evolves. Which is the best? What means the best? How to ascertain the supremacy? To answer such questions, in this paper we propose an evaluation methodology including standard data sets, ground-truth information and performance metrics. We also compare three variants of a well-known mosaicing algorithm according to the proposed methodology.