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• W155021718 abstract "This study proposes a method of feature point extraction using scale-space filtering and a feature point tracking algorithm based on a texturedness similarity comparison, With well-defined operators one can select a scale parameter for feature point extraction; this affects the selection and localization of the feature points and also the performance of the tracking algorithm. This study suggests a feature extraction method using scale-space filtering, With a change in the camera's point of view or movement of an object in sequential images, the window of a feature point will have an affine transform. Traditionally, it is difficult to measure the similarity between correspondence points, and tracking errors often occur. This study also suggests a tracking algorithm that expands Shi-Tomasi-Kanade's tracking algorithm with texturedness similarity." @default.
• W155021718 created "2016-06-24" @default.
• W155021718 creator A5029295144 @default.
• W155021718 creator A5049256585 @default.
• W155021718 date "2005-01-01" @default.
• W155021718 modified "2023-09-23" @default.
• W155021718 title "Feature point extraction using scale-space filtering and Tracking algorithm based on comparing texturedness similarity" @default.
• W155021718 hasPublicationYear "2005" @default.
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