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Feature Matching Approach for 3D Reconstruction from Multiple Images

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dc.contributor.author Thein, Khant Kyaw Kyawt
dc.contributor.author Sein, Myint Myint
dc.date.accessioned 2019-07-03T04:39:19Z
dc.date.available 2019-07-03T04:39:19Z
dc.date.issued 2015-02-05
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/208
dc.description.abstract This paper handles a robust method to handle matching problem of the 3D building from remote sensed images, where two or more images are captured from the different views without any camera information. The system is based on the SIFT interest point detector on foreground object. The system provides a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different view of an object or scene. The features are invariant to image scaling, translation, and rotation, and partially invariant to illumination changes and affine or 3D projection. The system also describes the outlier removal and the homography matrix computation approach between two planes using corresponding points based on the RANSAC method. The proposed method gives a sufficient number of matches distributed on the image and is particularly suitable for 3D reconstruction from feature correspondence. en_US
dc.language.iso en en_US
dc.publisher Thirteenth International Conferences on Computer Applications(ICCA 2015) en_US
dc.title Feature Matching Approach for 3D Reconstruction from Multiple Images en_US
dc.type Article en_US


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