{"id":12,"date":"1997-06-09T13:41:01","date_gmt":"1997-06-09T17:41:01","guid":{"rendered":"http:\/\/www.alquier.org\/laurent\/?p=12"},"modified":"1997-06-09T13:41:01","modified_gmt":"1997-06-09T17:41:01","slug":"recursive_perceptual_grouping","status":"publish","type":"post","link":"http:\/\/www.alquier.org\/laurent\/sites\/cv\/1997\/06\/recursive_perceptual_grouping\/","title":{"rendered":"Recursive Perceptual Grouping for 3d Object Reconstruction from 2d Scenes"},"content":{"rendered":"<p><em>10th Scandinavian Conference on Image Analysis, <\/em><br \/>\nSCIA 97, Lappeenranta, Finland (June 09-11, 1997)<br \/>\n<a href=\"http:\/\/citeseer.ist.psu.edu\/19854.html\">Citeseer search<\/a><br \/>\n<a href=\"http:\/\/www.alquier.org\/laurent\/documents\/conferences\/scia97_grouping.pdf\">PDF<\/a><\/p>\n<p><!--more--><br \/>\nThe detection and the identification of an object in an image is an extremely complex combinatory problem. The objective of a shape recognition system is to reduce this complexity and make the problem solvable. In this paper, we present a two stage method for features extraction. First we start with a description of the scene using Perceptual Organization techniques. This step extracts a set of salient structures in the image, from a local to gobal level, without prior knowledge of the scene.<br \/>\nWe show how this description is more appropriate for the shape extraction level. Along the analysis, increasingly complex features are extracted from this description, organized into a graph of structural relationships, and validated using the original image.<br \/>\nThe final description of objects in the image can be used for matching a 3D model with a 2D scene or used to track objects in a sequence.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>10th Scandinavian Conference on Image Analysis, SCIA 97, Lappeenranta, Finland (June 09-11, 1997) Citeseer search PDF<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,1],"tags":[12,13,14,25,39],"class_list":["post-12","post","type-post","status-publish","format-standard","hentry","category-04-publications","category-uncategorized","tag-conference-presentation","tag-curves-detection","tag-dynamic-programming","tag-perceptual-grouping","tag-shape-extraction","xfolkentry","clearfix"],"_links":{"self":[{"href":"http:\/\/www.alquier.org\/laurent\/sites\/cv\/wp-json\/wp\/v2\/posts\/12","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.alquier.org\/laurent\/sites\/cv\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.alquier.org\/laurent\/sites\/cv\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.alquier.org\/laurent\/sites\/cv\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.alquier.org\/laurent\/sites\/cv\/wp-json\/wp\/v2\/comments?post=12"}],"version-history":[{"count":0,"href":"http:\/\/www.alquier.org\/laurent\/sites\/cv\/wp-json\/wp\/v2\/posts\/12\/revisions"}],"wp:attachment":[{"href":"http:\/\/www.alquier.org\/laurent\/sites\/cv\/wp-json\/wp\/v2\/media?parent=12"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.alquier.org\/laurent\/sites\/cv\/wp-json\/wp\/v2\/categories?post=12"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.alquier.org\/laurent\/sites\/cv\/wp-json\/wp\/v2\/tags?post=12"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}