{"id":225,"date":"2011-06-12T12:36:18","date_gmt":"2011-06-12T10:36:18","guid":{"rendered":"http:\/\/xylem.aegean.gr\/~sofia\/blog\/?page_id=225"},"modified":"2022-01-22T20:44:24","modified_gmt":"2022-01-22T18:44:24","slug":"sketch-realizability","status":"publish","type":"page","link":"https:\/\/xylem.aegean.gr\/~sofia\/blog\/research\/sketch-realizability\/","title":{"rendered":"sketch realizability"},"content":{"rendered":"<p style=\"text-align: justify;\">Humans have the ability to intuitively realize the 3D geometry from a given 2D sketch. On the contrary, a computer-aided design program encounters sketches as a 2D configuration of lines, without any geometric depth information and requires mathematical criteria to establish if a sketch is realizable, i.e., if it is the projection of a 3D model. Research on the field of &#8220;<strong> Sketch realizability&#8221; <\/strong> aims at providing geometric, algebraic, or computational criteria\/conditions that determine whether a sketch identifies with the projection of a valid polyhedron.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignright\" 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alt=\"\" width=\"270\" height=\"264\"><\/p>\n<p>My research on this field focuses on the development of an algebraic model of the &#8220;cross-section&#8221; geometric realizability criterion, which was first introduced by Whiteley in &#8220;<em>Weavings, sections and projections of spherical polyhedral<\/em>, Discrete Applied Mathematics, 32(3), 1991, 275-294&#8243;.<\/p>\n<p>The proposed algebraic model describes explicitly the constraints that are involved within the cross-section criterion and forms the basis for an algorithmic implementation of the latter: the developed algorithm constructs a cross-section from a given wireframe sketch in order to evaluate the realizability of it. The realizability evaluation is based on the calculation of a &#8220;distance parameter&#8221;, which verifies the compatibility of the generated cross-section with the given sketch. The proposed algorithm can also handle inexact sketches, i.e., sketches with noisy vertices.<\/p>\n<p>The proposed algorithm can be effectively employed within a \u201csketch-to-solid\u201d algorithm in order to (a) facilitate the process of the \u201chidden geometry determination\u201d that is required for natural sketches, (b) correct the geometry of a given wireframe sketch, and (c) generate a compatible cross-section for constructing the trihedral polyhedron from a given sketch.<\/p>\n<p><strong><em>Related to this research Publications<\/em><\/strong>:<\/p>\n<p><em><strong>Journal Papers:<\/strong><\/em><\/p>\n<ol>\n<li><em>P. Azariadis, S. Kyratzi, N.S. Sapidis, A hybrid-optimization method for assessing the realizability of wireframe sketches,<b> <\/b><\/em><i>3D Research, 4(1), Article: 3, 2013<\/i>.<\/li>\n<li><em>S. Kyratzi, P. Azariadis, N.S. Sapidis, Realizability of a Sketch: An Algorithmic Implementation of the Cross-Section Criterion<\/em>, Computer Aided Design and Applications, 8(5), 665-679, 2011.<\/li>\n<li><em>S. Kyratzi, N.S. Sapidis, From Sketch to Solid: An Algebraic Cross-Section Criterion for the Realizability of a Wireframe Sketch<\/em>, Journal of Computing, 86(2-3), 219-234, 2009.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Humans have the ability to intuitively realize the 3D geometry from a given 2D sketch. On the contrary, a computer-aided design program encounters sketches as a 2D configuration of lines, without any geometric depth information and requires mathematical criteria to<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":4,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ngg_post_thumbnail":0,"footnotes":""},"class_list":["post-225","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/xylem.aegean.gr\/~sofia\/blog\/wp-json\/wp\/v2\/pages\/225"}],"collection":[{"href":"https:\/\/xylem.aegean.gr\/~sofia\/blog\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/xylem.aegean.gr\/~sofia\/blog\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/xylem.aegean.gr\/~sofia\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/xylem.aegean.gr\/~sofia\/blog\/wp-json\/wp\/v2\/comments?post=225"}],"version-history":[{"count":15,"href":"https:\/\/xylem.aegean.gr\/~sofia\/blog\/wp-json\/wp\/v2\/pages\/225\/revisions"}],"predecessor-version":[{"id":413,"href":"https:\/\/xylem.aegean.gr\/~sofia\/blog\/wp-json\/wp\/v2\/pages\/225\/revisions\/413"}],"up":[{"embeddable":true,"href":"https:\/\/xylem.aegean.gr\/~sofia\/blog\/wp-json\/wp\/v2\/pages\/4"}],"wp:attachment":[{"href":"https:\/\/xylem.aegean.gr\/~sofia\/blog\/wp-json\/wp\/v2\/media?parent=225"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}