Face recognition is a specialized case of object recognition, and has broad applications in security, surveillance, identity management, law enforcement, human-computer interaction, and automatic photo and video indexing. Because human faces occupy a narrow portion of the total image space, specialized methods are required to identify faces based on subtle differences. One such method is the Eigenfaces classifier, a holistic statistical method which significantly reduces the dimensionality of the search space. Despite the dimensionality reduction, the k-nearest neighbor (kNN) search remains a bottleneck in this application as well as most others that use it. The kNN search is both computationally complex and highly data-parallel, making it a candidate for acceleration on graphics hardware. I present an implementation of an Eigenfaces classifier with a portion of the kNN search accelerated on an Nvidia Tesla K20X GPU with 2688 cores.<\/p>\n","protected":false},"excerpt":{"rendered":"
Face recognition is a specialized case of object recognition, and has broad applications in security, surveillance, identity management, law enforcement, human-computer interaction, and automatic photo and video indexing. Because human faces occupy a narrow portion of the total image space, specialized methods are required to identify faces based on subtle differences. One such method is […]<\/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":[11,73,89,3,287],"tags":[1782,1791,14,349,20,1800,1390,390],"class_list":["post-13041","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-computer-vision","category-nvidia-cuda","category-paper","category-security","tag-computer-science","tag-computer-vision","tag-cuda","tag-nearest-neighbour","tag-nvidia","tag-security","tag-tesla-k20","tag-thesis"],"views":2207,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/13041","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=13041"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/13041\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=13041"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=13041"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=13041"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}