{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/32957"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/32957","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"Generation of Orthogonal Projections from Sparse Camera Arrays","abstract":"In the emerging arena of face-to-face collaboration using large, wall-size screens, a good videoconferencing system would be useful for two locations which both have a large screen. But as screens get bigger, a single camera becomes less than adequate to drive a videoconferencing system for the entire screen. Even if a wide-angle camera is placed in the center of the screen, it's possible for people standing at the sides to be hidden. We can fix this problem by placing several cameras evenly distributed in a grid pattern (what we call a sparse camera array) and merging the photos into one image. With a single camera, people standing near the sides of the screen are viewing an image with a viewpoint at the middle of the screen. Any perspective projection used in this system will look distorted when standing at a different viewpoint. If an orthogonal projection is used, there will be no perspective distortion, and the image will look correct no matter where the viewer stands. As a first step in creating this videoconferencing system, we use stereo matching to find the real world coordinates of objects in the scene, from which an orthogonal projection can be generated.","abstract_html":"In the emerging arena of face-to-face collaboration using large, wall-size screens, a good videoconferencing system would be useful for two locations which both have a large screen. But as screens get bigger, a single camera becomes less than adequate to drive a videoconferencing system for the entire screen. Even if a wide-angle camera is placed in the center of the screen, it's possible for people standing at the sides to be hidden. We can fix this problem by placing several cameras evenly distributed in a grid pattern (what we call a sparse camera array) and merging the photos into one image. With a single camera, people standing near the sides of the screen are viewing an image with a viewpoint at the middle of the screen. Any perspective projection used in this system will look distorted when standing at a different viewpoint. If an orthogonal projection is used, there will be no perspective distortion, and the image will look correct no matter where the viewer stands. As a first step in creating this videoconferencing system, we use stereo matching to find the real world coordinates of objects in the scene, from which an orthogonal projection can be generated.","abstract_has_math":false,"creators":["Silva, Ryan Edward"],"institution":"Virginia Tech","degree_name":"Master of Science","degree_level":"masters","degree_discipline":"Computer Science","degree_department":"Computer Science","school":null,"contributors":[],"advisors":[],"committee_chairs":["Ehrich, Roger W."],"committee_members":["Arthur, James D.","Gracanin, Denis","Quek, Francis K. 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