Evaluation of Interest Point Detectors
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Matching with PROSAC " Progressive Sample Consensus
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Fusing Points and Lines for High Performance Tracking
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
MonoSLAM: Real-Time Single Camera SLAM
IEEE Transactions on Pattern Analysis and Machine Intelligence
Random model variation for universal feature tracking
Proceedings of the 18th ACM symposium on Virtual reality software and technology
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This paper presents a simple and efficient estimator of long-term sparse optical flow. It is supported by a novel approach to feature tracking, essentially based on global coherence of local movements. Expensive invariant appearance descriptors are not required: the locations of salient points in successive frames provide enough information to create a large number of accurate and stable tracking histories which remain alive for significantly long times. Hence, wide-baseline matching can be achieved both in extremely regular scenes and in cases in which corresponding points are photometrically very different. Our experiments show that this method is able to robustly maintain in real time hundreds of trajectories in long video sequences using a standard computer.