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In the scene matching aided-navigation system, there often exists rotation, scale difference and occlusion between actual image and reference image. According to the navigation system demands of robustness, instantaneity and precision, a multi-level algorithm based on adaptive polar transform is proposed for its robustness to rotation, scale difference and occlusion. In the matching process, the rectangle...
In this paper, a rotation invariant multi-model scene matching method is proposed for scene matching aided navigation system. Phase congruency transformation is introduced first to minimize the image difference between multi-model images. Then ring project transformation is processed to make the method invariant to rotation. However, multiple maximum phenomenon is likely to occur after ring project...
In multiple targets tracking, the split, mergence or occlusion of objects will deteriorate the tracking performance, so a multiple targets tracking method based on kernel is proposed. Making use of the defined matching measurement rule, a matching matrix is constructed according to the detection results based on a Gaussian mixture model and the kernel-based tracking results, and then the spilt and...
According to the image matching demands of both the precision and instantaneity, a real-time two-level scene matching algorithm is proposed based on the least trimmed square Hausdorff distance (LTS-HD). In the first level, a coarse match point is obtained using pixel-jump searching through the reference image. In the second level, a point-by-point local searching is performed to get the accurate match...
Scene matching navigation system (SMNS) is one of the most effective ways of aided navigation for UAV. With anti-electronic interference and high resolution, SMN could be navigating and locating reliably and accurately. The navigational positioning ability with high reliability and high accuracy must be needed. For the complexity of the work environment of scene matching navigation on the platform...
Integration of various fingerprint matching algorithm is a viable method to improve the performance of a fingerprint identification system. In this paper, we firstly use minutiae to align the input fingerprint image, then use filterbank-based matching algorithm. Secondly, we present a hybrid matching algorithm that uses both minutiae information and texture information. Results obtained on the FVC...
This paper proposes a clustering successive projections onto convex sets (CSPOCS) algorithm for enforcing two way constraints originated from point matching. Via point clustering, the problem of projection onto convex set (POCS) where the convex set is described by point correspondence's constraints is converted to the POCS problem where the convex set is described by cluster correspondence's constraints...
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