{"541991":{"#nid":"541991","#data":{"type":"event","title":"PhD Proposal by Natesh Srinivasan","body":[{"value":"\u003Cp\u003ETitle: An Image Based Approach for 3D Reconstruction of Urban Scenes by Exploiting Architectural Symmetries\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ENatesh Srinivasan\u003C\/p\u003E\u003Cp\u003EComputer Science Ph.D. Student\u003C\/p\u003E\u003Cp\u003ESchool of Interactive Computing\u003C\/p\u003E\u003Cp\u003ECollege of Computing\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EDate: Monday, June 6th, 2016\u003C\/p\u003E\u003Cp\u003ETime: 11:00am to 1:00pm (EST)\u003C\/p\u003E\u003Cp\u003ELocation: Marcus Nano Rm1116\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ECommittee:\u003C\/p\u003E\u003Cp\u003E---------------\u003C\/p\u003E\u003Cp\u003EDr. Frank Dellaert (Advisor), School of Interactive Computing, Georgia Institute of Technology Dr. Irfan Essa (Co-Advisor), School of Interactive Computing, Georgia Institute of Technology Dr. James Hays, School of Interactive Computing, Georgia Institute of Technology Dr. Yanxi Liu, Department of Computer Science, University of Pennsylvania\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAbstract:\u003C\/p\u003E\u003Cp\u003E-----------\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EGeneration of accurate 3D models of urban environments is an important problem that needs to be addressed in the modern society and cameras offer as a cheap and easy way to achieve this. I address the problem of reconstructing urban scenes exhibiting architectural symmetries from an image or a set of images. I propose a fully automatic algorithm that can identify multiple 3D symmetries that is not restricted to translational symmetries alone but also considers rotational and bilateral symmetries in 3D. In particular I make the following three major contributions :\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E1. I show that a voting scheme in a polar transformation coordinates can robustly detect 3D symmetries in noisy, distorted point clouds obtained from image based reconstruction and also provide a reasonable initialization for joint optimization of 3D structure and translational and rotational symmetries. \u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E2. In cases where it is not possible to decouple the detection of symmetry and 3D reconstruction, I show that relaxing the constraints on feature matching to generate a \u201cclique\u201d of matches can be a useful method for both the detection of 3D symmetries and as a solution for incorrect correspondence arising as a consequence of symmetry. A symmetry-aware RANSAC stage in SfM can extract the relevant cliques that pertain to symmetry.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E3. Finally I propoe that by explicitly modelling the 3D basis element using an object-centric coordinate system, we can eliminate the manual intervention needed to generate fully automatic algorithm for detecting symmetries in 3D and also obtain a dense element-wise reconstruction.\u003C\/p\u003E\u003Cp\u003E \u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"An Image Based Approach for 3D Reconstruction of Urban Scenes by Exploiting Architectural Symmetries"}],"uid":"27707","created_gmt":"2016-06-06 07:31:51","changed_gmt":"2016-10-08 02:17:58","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2016-06-06T12:00:00-04:00","event_time_end":"2016-06-06T14:00:00-04:00","event_time_end_last":"2016-06-06T14:00:00-04:00","gmt_time_start":"2016-06-06 16:00:00","gmt_time_end":"2016-06-06 18:00:00","gmt_time_end_last":"2016-06-06 18:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}