Titlebook: Image Feature Detectors and Descriptors; Foundations and Appl Ali Ismail Awad,Mahmoud Hassaballah Book 2016 Springer International Publishi

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Nimisha Manth,Jitendra Virmani,Vinod Kumar,Naveen Kalra,Niranjan Khandelwal

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Image Features Detection, Description and Matchingttention in the last decades. Several feature detectors and descriptors have been proposed in the literature with a variety of definitions for what kind of points in an image is potentially interesting (i.e., a distinctive attribute). This chapter introduces basic notation and mathematical concepts

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Image Features Extraction, Selection and Fusion for Computer Visionpe for designing intelligent vehicle systems based on computer vision. Many computer vision or related problems are addressed, like segmentation, features extraction and selection, fusion and classification. Existing solutions are investigated and three different data-bases are presented to perform

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Satellite Image Matching and Registration: A Comparative Study Using Invariant Local Featurestration. These data are collected through remote sensors then processed and interpreted by means of image processing algorithms. They are taken from different sensors, viewpoints, or times for many industrial and governmental applications covering agriculture, forestry, urban and regional planning,

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Redundancy Elimination in Video Summarizationsing time. At the same time sufficient coverage of the contents is to be ensured. A trade-off between conciseness and coverage has to be reached as these properties are conflicting to each other. Various feature descriptors have been developed which can be used for redundancy removal in the spatial