{"id":10932,"date":"2013-11-21T00:01:18","date_gmt":"2013-11-20T22:01:18","guid":{"rendered":"http:\/\/hgpu.org\/?p=10932"},"modified":"2013-11-21T00:01:18","modified_gmt":"2013-11-20T22:01:18","slug":"towards-an-interactive-and-automated-script-feature-analysis-of-3d-scanned-cuneiform-tablets","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=10932","title":{"rendered":"Towards an interactive and automated script feature analysis of 3D scanned cuneiform tablets"},"content":{"rendered":"<p>Current digitalization projects of ancient artifacts in the field of cultural heritage produce large amounts of data that can not be managed and analyzed in a reasonable amount of time by means of conventional philological methods. Therefore, this paper presents a novel approach to performing a fast and interactive 3D script feature extraction, analysis and visualization for high resolution 3D scanned cuneiform tablets making intense use of parallel computing and GPGPU. By integrating philological expertise a straightforward parametrization with immediate display of results, comprehensive meta data visualization and shareability of analysis results is achieved.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Current digitalization projects of ancient artifacts in the field of cultural heritage produce large amounts of data that can not be managed and analyzed in a reasonable amount of time by means of conventional philological methods. Therefore, this paper presents a novel approach to performing a fast and interactive 3D script feature extraction, analysis and [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"closed","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":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[11,73,3],"tags":[1782,1791,187,20,1089,182,134],"class_list":["post-10932","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-computer-vision","category-paper","tag-computer-science","tag-computer-vision","tag-glsl","tag-nvidia","tag-nvidia-geforce-gtx-560-ti","tag-opengl","tag-visualization"],"views":2300,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/10932","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=10932"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/10932\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=10932"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=10932"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=10932"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}