{"id":5066,"date":"2011-08-09T13:19:56","date_gmt":"2011-08-09T10:19:56","guid":{"rendered":"http:\/\/hgpu.org\/?p=5066"},"modified":"2011-08-09T13:19:56","modified_gmt":"2011-08-09T10:19:56","slug":"real-time-all-in-focus-video-based-rendering-using-a-network-camera-array","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=5066","title":{"rendered":"Real-Time All-in-Focus Video-Based Rendering Using A Network Camera Array"},"content":{"rendered":"<p>We present a real-time video-based rendering system using a network camera array. Our system consists of 64 commodity network cameras that are connected to a single PC through a Gigabit Ethernet. To render a high-quality novel view, we estimate a view-dependent per-pixel depth map in real-time by using a layered representation. The rendering algorithm is fully implemented on a GPU, which allows our system to efficiently use CPU and GPU independently and in parallel. Using QVGA input video resolution, our system renders a free-viewpoint video at up to 30 fps depending on rendering parameters. Experimental results show high-quality images synthesized from various scenes.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present a real-time video-based rendering system using a network camera array. Our system consists of 64 commodity network cameras that are connected to a single PC through a Gigabit Ethernet. To render a high-quality novel view, we estimate a view-dependent per-pixel depth map in real-time by using a layered representation. The rendering algorithm is [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[36,11,3],"tags":[1787,444,1782,333,20,374,182,297,144],"class_list":["post-5066","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-computer-science","category-paper","tag-algorithms","tag-cg","tag-computer-science","tag-image-generation","tag-nvidia","tag-nvidia-geforce-8800-ultra","tag-opengl","tag-real-time-graphics","tag-rendering"],"views":2445,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5066","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5066"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5066\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5066"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5066"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5066"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}