Interest Point Detection
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High Quality Content by WIKIPEDIA articles! Interest point detection is a recent terminology in computer vision that refers to the detection of interest points for subsequent processing.Historically, the notion of interest points goes back to the earlier notion of corner detection, where corner features were in early work detected with the primary goal of obtaining robust, stable and well-defined image features for object tracking and recognition of three-dimensional CAD-like objects from two-dimensional images. In practice, however, most corner detector are sensitive not specifically to…mehr

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High Quality Content by WIKIPEDIA articles! Interest point detection is a recent terminology in computer vision that refers to the detection of interest points for subsequent processing.Historically, the notion of interest points goes back to the earlier notion of corner detection, where corner features were in early work detected with the primary goal of obtaining robust, stable and well-defined image features for object tracking and recognition of three-dimensional CAD-like objects from two-dimensional images. In practice, however, most corner detector are sensitive not specifically to corners, but to local image regions which have a high degree of variation in all directions. The use of interest points also goes back to the notion of regions of interest, which have been used to signal the presence of objects, often formulated in terms of the output of a blob detection step.