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Advertisement: I have created a fast RANSAC variant called "1P-WGC-RANSAC" that is suitable for real-time applications. We used it for geometric verification of image search results but it is also applicable to different scenarios. It is extremely fast (a few ms per image) and has almost identical performance (in terms of accuracy) as e.g. OpenCV's RANSAC implementation. You find more details in the publication.

Advertisement: I have created a fast RANSAC variant called "1P-WGC-RANSAC" that is suitable for real-time applications. We used it for geometric verification of image search results but it is also applicable to different scenarios. It is extremely fast (a few ms per image) and has almost identical performance (in terms of accuracy) as e.g. OpenCV's RANSAC implementation. You find more details in the publication. (Section 4).

Advertisement: I have created a fast RANSAC variant called "1P-WGC-RANSAC" that is suitable for real-time applications. We used it for geometric verification of image search results but it is also applicable to different scenarios. It is extremely fast (a few ms per image) and has almost identical performance (in terms of accuracy) as e.g. OpenCV's RANSAC implementation. You find more details in the publication (Section 4).4). Some more insights are given in the slides.

Advertisement: I have created a fast RANSAC variant called "1P-WGC-RANSAC" that is suitable for real-time applications. We used it for geometric verification of image search results but it is also applicable to different scenarios. It is extremely fast (a few ms per image) image, e.g. we could process more than 400 images/s) and has almost identical performance (in terms of accuracy) as e.g. OpenCV's RANSAC implementation. You find more details in the publication (Section 4). Some more insights are given in the slides.