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Generation of orthoimages and perspective views with automatic visibility checking and texture blending / G.E. Karras in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 4 (April 2007)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 4 (April 2007) . - pp 403 - 411 Titre : Generation of orthoimages and perspective views with automatic visibility checking and texture blending Type de document : Article/Communication Auteurs : G.E. Karras, Auteur ; L. Grammatikopoulos, Auteur ; I. Kalisperakis, Auteur ; E. Petsa, Auteur Année de publication : 2007 Article en page(s) : pp 403 - 411 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] algorithme de fusion [Termes IGN] données laser [Termes IGN] fusion de données [Termes IGN] orthoimage [Termes IGN] précision géométrique (imagerie) [Termes IGN] restitution 3D [Termes IGN] texture d'image Résumé : (Auteur) Conventional orthorectification software cannot handle surface occlusions and image visibility. The approach presented here synthesizes related work in photogrammetry and computer graphics/vision to automatically produce orthographic and perspective views based on fully 3D surface data (supplied by laser scanning). Surface occlusions in the direction of projection are detected to create the depth map of the new image. This information allows identifying, by visibility checking through back-projection of surface triangles, all source images which are entitled to contribute color to each pixel of the novel image. Weighted texture blending allows regulating the local radiometric contribution of each source image involved, while outlying color values are automatically discarded with a basic statistical test. Experimental results from a close-range project indicate that this fusion of laser scanning with multi-view photogrammetry could indeed combine geometric accuracy with high visual quality and speed. A discussion of intended improvements of the algorithm is also included. Copyright ASPRS Numéro de notice : A2007-142 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.4.403 En ligne : https://doi.org/10.14358/PERS.73.4.403 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28505 [article]