{"id":4143,"date":"2011-05-26T08:44:43","date_gmt":"2011-05-26T08:44:43","guid":{"rendered":"http:\/\/hgpu.org\/?p=4143"},"modified":"2011-05-26T08:44:43","modified_gmt":"2011-05-26T08:44:43","slug":"very-fast-ellipse-detection-using-gpu-based-rht","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=4143","title":{"rendered":"Very fast ellipse detection using GPU-based RHT"},"content":{"rendered":"<p>An approach to very rapid computation of one class of randomized Hough transform (RHT) using parallel processing capabilities of a programmable graphics processing unit is described. The method is able to detect ellipses in real-time, even in large images. It uses fragment processing in recovering ellipse shape parameters. Its effectiveness is evaluated through experiments on synthetic and real images.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>An approach to very rapid computation of one class of randomized Hough transform (RHT) using parallel processing capabilities of a programmable graphics processing unit is described. The method is able to detect ellipses in real-time, even in large images. It uses fragment processing in recovering ellipse shape parameters. Its effectiveness is evaluated through experiments on [&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":[33,3],"tags":[1786,901,20,910],"class_list":["post-4143","post","type-post","status-publish","format-standard","hentry","category-image-processing","category-paper","tag-image-processing","tag-image-recognition","tag-nvidia","tag-nvidia-geforce-7950-gt"],"views":2714,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4143","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=4143"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4143\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4143"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4143"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4143"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}