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This paper concerns the problem of the wide filed-of-view on intelligent video surveillance system and presents an image mosaics solution based on scale invariant feature transform (SIFT) algorithm to get the wider view. Image mosaics contain mainly two parts: image registration and image fusion. The SIFT algorithm is improved to meet the requirements of the intelligent video surveillance system,...
In the cartridge case marks detection, because of the limitations of microscope and the unsmoothed specimen surface, not all information can be obtained from just one image. This paper presents an efficient cartridge case mosaic approach to help experts' analysis or computer recognition. Firstly, the initial matching is obtained by using scale invariant feature transform (SIFT). Secondly, the voting...
This paper researched scale invariant feature transform (SIFT) which is feature extraction method of image processing, and it is stable for image feature registration. And image mosaic needs the fusion of overlapped region after the image registration. The research of image fusion in mosaic nowadays is concentrated on multi-resolution mosaic simply, and ignores the similarity of feature points among...
Characteristic marks on the cartridge can be viewed as a ??fingerprint?? for identification of a firearm. Sometimes, however, not all information can be obtained from just one image due to the limitations of microscope and the unsmoothed specimen surface in the cartridge case image detection. Image mosaic that refers to the combination of two or more images into a single composite image is precisely...
It is important to determine the stable keypoints and select transformation models for image registration and mosaic. In this paper a method is presented for retinal image mosaic. Central to the new method is to detect the PCA-SIFT (principal components analysis-scale invariant feature transform) feature and estimate the quadratic transformation model which is employed to simulate the anatomy of human...
To solve the problem of work piece image matching under the complex circumstance of translation, rotation, scale and part of occlusion, an algorithm of work piece recognition based on improved SIFT is given. The algorithm uses SIFT (scale invariant feature transform) characteristics as matching features, then introduces the incline distance as the similarity metrics of image matching, and uses a method...
This paper presents a comprehensive extension of the Scale Invariant Feature Transform (SIFT), originally introduced in 2D, to volumetric images. While tackling the significant computational efforts required by such multiscale processing of large data volumes, our implementation addresses two important mathematical issues related to the 2D-to-3D extension. It includes efficient steps to filter out...
Several functional and biomedical imaging techniques rely on determining hemodynamic variables and their changes in large vascular networks. To do so at micro-vascular resolution requires taking into account the - usually small but often non-rigid - mechanical deformations of the imaged vasculature induced by the cardiac pulsation and/or the sub- jects'body movements. Here, we present two new algorithmic...
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