{"id":3629,"date":"2011-04-18T21:35:59","date_gmt":"2011-04-18T21:35:59","guid":{"rendered":"http:\/\/hgpu.org\/?p=3629"},"modified":"2011-04-18T21:35:59","modified_gmt":"2011-04-18T21:35:59","slug":"accelerated-multi-view-stereo-using-parallel-processing-capababilities-of-the-gpus","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=3629","title":{"rendered":"Accelerated multi-view stereo using parallel processing capababilities of the GPUS"},"content":{"rendered":"<p>This paper presents an accelerated implementation of a multi-view stereo pipeline using parallel processing capabilities of the GPUs. Our system takes as input a set of calibrated photographs and produces a textured 3D mesh of the scene. The pipeline is divided into three parts: dense stereo matching, multi-view correspondence linking and 3D model generation. First, we use a combined vertical aggregation and dynamic programming (DP) scheme to produce disparity maps between pairs of photographs. Then, the depth maps are computed using a multi-view correspondence linking algorithm. Finally, we use a Delaunay triangulation algorithm and texture mapping to produce the 3D model of the scene.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper presents an accelerated implementation of a multi-view stereo pipeline using parallel processing capabilities of the GPUs. Our system takes as input a set of calibrated photographs and produces a textured 3D mesh of the scene. The pipeline is divided into three parts: dense stereo matching, multi-view correspondence linking and 3D model generation. First, [&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":[180,33,3],"tags":[1797,1786,20,357,182],"class_list":["post-3629","post","type-post","status-publish","format-standard","hentry","category-3d-graphics-and-realism","category-image-processing","category-paper","tag-3d-graphics-and-realism","tag-image-processing","tag-nvidia","tag-nvidia-geforce-8800-gts","tag-opengl"],"views":1873,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3629","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=3629"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3629\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3629"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3629"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3629"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}