Oubong Gwun

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SURF (Speeded Up Robust Features) is one of the famous feature-detection algorithms. This paper proposes a panorama image stitching system which combines an image matching algorithm; modified SURF and an image blending algorithm; multi-band blending. The process is divided in the following steps: first, get feature descriptor of the image using modified(More)
Image stitching is the process of combining two or more images with overlapping area to produce a panorama of input images. In order to improve performance of creation of panorama, approach that combine different keypoint extraction methods can be used. This paper proposes a methodology for image stitching process that combines various feature detection and(More)
This paper exploits an interesting property of a certain type of elementary cellular automata, namely hybrid cellular automata (HCA) defined by rule 101 and its negate. Such HCA may be easily implemented on any CNN platform, and has some interesting properties. It provides a chaotic counting automaton instead of the traditional raster scan counter(More)
Geant4 is a physical library, used for radiation or other physics simulations. To take advantage of the Geant4 library, the user should inherit the classes which are provided in the library and embody the three classes required by C++ language. Because it is usually difficult and takes a lot of time for a physicist to embody these classes, we are developing(More)
This paper summarizes the three robust feature detection methods: Scale Invariant Feature Transform (SIFT), Principal Component Analysis (PCA)–SIFT and Speeded Up Robust Features (SURF). This paper uses KNN (K-Nearest Neighbor) and Random Sample Consensus (RANSAC) to the three methods in order to analyze the results of the methods’ application in(More)