dc.contributor.advisor | Arentz, Will Archer | nb_NO |
dc.contributor.author | Brown, Tanja Annette | nb_NO |
dc.date.accessioned | 2014-12-19T13:30:49Z | |
dc.date.available | 2014-12-19T13:30:49Z | |
dc.date.created | 2010-09-02 | nb_NO |
dc.date.issued | 2005 | nb_NO |
dc.identifier | 346743 | nb_NO |
dc.identifier | ntnudaim:1046 | nb_NO |
dc.identifier.uri | http://hdl.handle.net/11250/250113 | |
dc.description.abstract | This paper presents a new method for SIFT feature image matching that can be readily used and applied in a standard search engine. For any object there are many features, interesting points in an image, that can be extracted to provide a feature description of the object. The SIFT approach for image feature generation takes an image and transforms it into a large collection of local feature vectors, which make image retrieval possible. In order to match an image within a large database of images, a match for a given feaure is traditionally defined as the local feature vector with minimum Euclidean distance from the first. As this method does not transcribe to search engines, a new method was developed that allows for the quick retrieval of images. It was found that only a limited number of indices, the ones with the largest values, in any feature vector need be analyzed when finding reliable matches with a search engine. Using a search application, this method was tested and refined. Real-time search performance was achieved. | nb_NO |
dc.language | eng | nb_NO |
dc.publisher | Institutt for datateknikk og informasjonsvitenskap | nb_NO |
dc.subject | ntnudaim | no_NO |
dc.subject | SIF2 datateknikk | no_NO |
dc.subject | Program- og informasjonssystemer | no_NO |
dc.title | Content based image retrieval using textual representation of SIFT features | nb_NO |
dc.type | Master thesis | nb_NO |
dc.source.pagenumber | 125 | nb_NO |
dc.contributor.department | Norges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskap | nb_NO |