{"id":183015,"date":"2007-04-20T00:00:00","date_gmt":"2009-10-31T10:14:20","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/the-bilateral-grid-and-a-topological-approach-to-image-segmentation\/"},"modified":"2016-09-09T09:43:04","modified_gmt":"2016-09-09T16:43:04","slug":"the-bilateral-grid-and-a-topological-approach-to-image-segmentation","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/the-bilateral-grid-and-a-topological-approach-to-image-segmentation\/","title":{"rendered":"The Bilateral Grid and a Topological Approach to Image Segmentation"},"content":{"rendered":"<div class=\"asset-content\">\n<p>I will present our latest results on image and video processing. First, I will introduce the bilateral grid, a new image representation that enables fast edge-aware image processing. Image data is stored in a coarse 3D grid where an intensity axis is added to the traditional x and y axes. By working in the bilateral grid, algorithms such as bilateral filtering, edge-aware painting, and local histogram equalization become simple and can be efficiently parallelized on modern graphics hardware to achieve real-time performance on HD video. I will demonstrate our method on a variety of applications such as image editing, transfer of photographic style, and contrast enhancement of medical images. In a second part, I will present a new interpretation of the mean-shift algorithm for image and video segmentation. I will show that a mean-shift segmentation is equivalent to a topological decomposition of the underlying feature space. Using Morse theory and the notion of topological persistence, this decomposition is used to build a hierarchical segmentation of the data at a negligible computational cost. Our experiments demonstrate that our algorithm achieves the same accuracy level as existing techniques while being significantly faster for high-resolution images and videos for large kernels.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>I will present our latest results on image and video processing. First, I will introduce the bilateral grid, a new image representation that enables fast edge-aware image processing. Image data is stored in a coarse 3D grid where an intensity axis is added to the traditional x and y axes. By working in the bilateral [&hellip;]<\/p>\n","protected":false},"featured_media":194856,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":0,"footnotes":""},"research-area":[],"msr-video-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-183015","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/1yi-tdmkIeg","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/183015","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":0,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/183015\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/194856"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=183015"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=183015"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=183015"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=183015"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=183015"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=183015"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=183015"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=183015"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=183015"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=183015"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}