ID shadow-maps are used for robust real-time rendering of shadows. The primary disadvantage of using shadow-maps is their excessive size for large scenes in case high quality shadows are needed. To eliminate large memory requirements and texture-size limitations of the current generation GPUs, texture compression is an important tool. We present a framework where compressed ID-shadow-maps are used for real-time rendering of static scene shadows. The texture compression is performed off-line on the CPU and real-time decompression is performed on the GPU within a fragment-shader for shadowing the pixels. The use of ID shadow-maps (instead of conventional depth-based shadow-maps) is the key to high compression ratios. The ID shadow-map is compressed on the CPU by first partitioning it into blocks. Each compressed block is packed densely into a global array, while a pointer table is constructed that holds a pointer to the start of every compressed block in the global array. This data organization provides the GPU with a random access to the start of each compressed block thus enables fast parallel decompression. The proposed decompression shader-program and the underlying data structures can be applied to any type of array consisting of integers. The framework is implemented using OpenGL and GLSL.<\/p>\n","protected":false},"excerpt":{"rendered":"
ID shadow-maps are used for robust real-time rendering of shadows. The primary disadvantage of using shadow-maps is their excessive size for large scenes in case high quality shadows are needed. To eliminate large memory requirements and texture-size limitations of the current generation GPUs, texture compression is an important tool. We present a framework where compressed […]<\/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":[11,33,3],"tags":[1782,187,1786,182,144,367],"class_list":["post-3836","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-image-processing","category-paper","tag-computer-science","tag-glsl","tag-image-processing","tag-opengl","tag-rendering","tag-shaders"],"views":2533,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3836","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=3836"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3836\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3836"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3836"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3836"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}