[{"key":"dc.contributor.author","value":"Southey, Tristram","language":null},{"key":"dc.date.accessioned","value":"2009-12-15T21:44:51Z","language":null},{"key":"dc.date.available","value":"2009-12-15T21:44:51Z","language":null},{"key":"dc.date.issued","value":"2005","language":null},{"key":"dc.identifier.uri","value":"http:\/\/hdl.handle.net\/2429\/16723","language":null},{"key":"dc.description.abstract","value":"In this thesis we examine the problem of Object Discovery, the autonomous\r\nacquisition of object models, using a combination of shape, appearance and\r\nmotion. We propose a new technique for detecting rigidly moving objects and\r\nconstructing models of their appearance and shape called the ODMAS (Object\r\n.Discovery through Motion, Appearance and Shape) system. Our technique is\r\na multi-stage approach. First, a stereo camera is used to find a sequence of\r\nimages and shape maps of a given scene. Then the scene is oversegmented using\r\nnormalized cuts based on a combination of shape and appearance. SIFT image\r\nfeatures are matched between sequential pairs of images to identify groups of\r\nmoving features and the three dimensional location of these moving features in\r\nthe scene is identified using the shape map from the stereo camera. The moving\r\nfeatures are then further individuated into objects by identifying groups where\r\nthe motion of the features is rigid. These rigid feature groups are used to determine\r\nwhich regions in the segmentation of the scene correspond to objects,\r\ngrouping together oversegmented regions as necessary. Additional features are\r\nextracted from these regions and combined with the rigidly moving image features\r\nto create snapshots of the object's appearance and shape. Finally, these\r\nsnapshots are grouped together over time to produce models of the objects.","language":"en"},{"key":"dc.language.iso","value":"eng","language":"en"},{"key":"dc.publisher","value":"University of British Columbia","language":null},{"key":"dc.rights","value":"For non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https:\/\/open.library.ubc.ca\/terms_of_use.","language":null},{"key":"dc.title","value":"Odmas : object discovery through motion, appearance and shape","language":"en"},{"key":"dc.type","value":"Text","language":null},{"key":"dc.degree.name","value":"Master of Science - MSc","language":"en"},{"key":"dc.degree.discipline","value":"Computer Science","language":"en"},{"key":"dc.degree.grantor","value":"University of British Columbia","language":null},{"key":"dc.date.graduation","value":"2005-11","language":"en"},{"key":"dc.type.text","value":"Thesis\/Dissertation","language":"en"},{"key":"dc.description.affiliation","value":"Science, Faculty of","language":null},{"key":"dc.description.affiliation","value":"Computer Science, Department of","language":null},{"key":"dc.degree.campus","value":"UBCV","language":"en"},{"key":"dc.description.scholarlevel","value":"Graduate","language":"en"}]