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Project has been divided into 3 parts:- 1) Implementation of the edge detection on a given image. 2) Applying the Scale Invariant Feature Transform to detect features in an image. 3)Template matching. This project has been developed using python as part of coursework CSE573 Computer Vision at SUNY- University at Buffalo.
shadyshrew/Edge-Detection-SIFT-and-Template-Matching
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Project has been divided into 3 parts:- 1) Implementation of the edge detection on a given image. 2) Applying the Scale Invariant Feature Transform to detect features in an image. 3)Template matching. This project has been developed using python as part of coursework CSE573 Computer Vision at SUNY- University at Buffalo.
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Project has been divided into 3 parts:- 1) Implementation of the edge detection on a given image. 2) Applying the Scale Invariant Feature Transform to detect features in an image. 3)Template matching. This project has been developed using python as part of coursework CSE573 Computer Vision at SUNY- University at Buffalo.
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