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Improving RANSAC for fast landmark recognition

Improving RANSAC for fast landmark recognition,10.1109/CVPRW.2008.4563138,Pablo Márquez-Neila,Jacobo García Miró,José M. Buenaposada,Luis Baumela

Improving RANSAC for fast landmark recognition   (Citations: 6)
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We introduce a procedure for recognizing and locating planar landmarks for mobile robot navigation, based in the detection and recognition of a set of interest points. We use RANSAC for fitting a homography and locating the landmark. Our main contribution is the introduction of a geometrical constraint that reduces the number of RANSAC iterations by discarding minimal subsets. In the experiments conducted we conclude that this constraint increases RANSAC performance by reducing in about 35% and 75% the number of iterations for affine and projective cameras, respectively.
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    • ...A simplified RANSAC procedure [9] that yields 35% ∼75% time complexity reduction can speedup the whole process...

    Ching-Hua Chenet al. An improved block matching and prediction algorithm for multi-view vid...

    • ...In paper [9], the author proposed an improved RANSAC...

    Juan Kanget al. Image registration based on harris corner and mutual information

    • ...In [11], Marquez-Neilia et al. introduce a procedure for recognizing and locating planar landmarks in mobile robot navigation, based on detection of a set of interesting points...

    Kai-Tai Songet al. Object pose estimation for grasping based on robust center point detec...

    • ...In [14], Neilia et al. introduce a procedure for recognizing and locating planar landmarks for mobile robot navigation, based on the detection and recognition of a set of interesting points...

    Kai-Tai Songet al. Robust feature extraction and control design for autonomous grasping a...

    • ...The homographies (projective transformation) between the images are computed using the set of putative correspondences and a modified RANdom SAmple Consensus (RANSAC) [2], [3], [4], [5] algorithm...
    • ...The generic RANSAC algorithm has been extended by various authors, for example [4] introduces bias in the sample selection probability based on the estimated reliability of features and computes a model quality measure based on inlier error; [5] achieves speed improvements to the model validation stage by introducing a pre-validation check; [11] attempts to compute the probabilities of the validities of the correspondences and uses this ...
    • ... by various authors, for example [4] introduces bias in the sample selection probability based on the estimated reliability of features and computes a model quality measure based on inlier error; [5] achieves speed improvements to the model validation stage by introducing a pre-validation check; [11] attempts to compute the probabilities of the validities of the correspondences and uses this information to accelerate the process; [4] ...

    Junbin Liuet al. Camera calibration in wireless multimedia sensor networks

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