{"id":7909,"date":"2012-07-14T18:31:59","date_gmt":"2012-07-14T15:31:59","guid":{"rendered":"http:\/\/hgpu.org\/?p=7909"},"modified":"2012-07-14T18:31:59","modified_gmt":"2012-07-14T15:31:59","slug":"gpu-based-computation-of-the-structural-tensor-for-real-time-figure-detection","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=7909","title":{"rendered":"GPU Based Computation of the Structural Tensor for Real-Time Figure Detection"},"content":{"rendered":"<p>In this paper we present a real-time realization of the method of detection of local structures in images of predefined orientation. The method is based on an analysis of the structural tensor computed in monochrome and color images. Thanks to the GPU implementation of the low-level feature  detection an order-of-magnitude speed-up was achieved compared to the software implementation. The method can be used for real-time detection of solid objects in HDTV streams as shown by many examples.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this paper we present a real-time realization of the method of detection of local structures in images of predefined orientation. The method is based on an analysis of the structural tensor computed in monochrome and color images. Thanks to the GPU implementation of the low-level feature detection an order-of-magnitude speed-up was achieved compared to [&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":[11,73,89,3],"tags":[1782,1791,14,20,977,1275,176],"class_list":["post-7909","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-computer-vision","category-nvidia-cuda","category-paper","tag-computer-science","tag-computer-vision","tag-cuda","tag-nvidia","tag-nvidia-geforce-8400-m-gs","tag-nvidia-quadro-fx-3800-m","tag-package"],"views":2425,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7909","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=7909"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7909\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7909"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7909"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7909"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}