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Automated 3D feature matching / Tzu-Yi Chuang in Photogrammetric record, vol 30 n° 149 (March - May 2015)  

Public [article]  inPhotogrammetric record > vol 30 n° 149 (March - May 2015) . - pp 8 - 29 Titre : Automated 3D feature matching Type de document : Article/Communication Auteurs : Tzu-Yi Chuang, Auteur ; Jen-Jer Jaw, Auteur Année de publication : 2015 Article en page(s) : pp 8 - 29 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] ajustement de paramètres [Termes IGN] appariement d'images [Termes IGN] appariement de données localisées [Termes IGN] données localisées 3D [Termes IGN] primitive volumique [Termes IGN] semis de points [Termes IGN] translation Résumé : (Auteur) Three-dimensional (3D) feature-matching techniques, which are essential for progress towards an automated feature-based procedure, have attracted considerable research attention in both the photogrammetry and computer vision communities. This study introduces a novel matching approach, called RSTG, that comprises four major phases: rotation alignment; scale estimation; translation alignment; and geometry checks. These steps efficiently determine a feature-based correspondence and frame transformation between datasets. RSTG analyses the similarity and relative geometry of features by employing feature observations and their uncertainty; this allows different types of features to be matched exclusively or simultaneously. This study validates the proposed method with both simulated and real datasets, demonstrating its effectiveness with satisfactory matching rates in a diverse range of feature-based point cloud registration tasks. Numéro de notice : A2015-361 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12089 Date de publication en ligne : 12/02/2015 En ligne : https://doi.org/10.1111/phor.12089 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76798 [article]

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Line features between object space and image space / Jen-Jer Jaw in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 12 (December 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 12 (December 2008) . - pp 1521 - 1528 Titre : Line features between object space and image space Type de document : Article/Communication Auteurs : Jen-Jer Jaw, Auteur ; N.h Perny, Auteur Année de publication : 2008 Article en page(s) : pp 1521 - 1528 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] appariement de données localisées [Termes IGN] colinéarité [Termes IGN] contrainte géométrique [Termes IGN] données localisées 2D [Termes IGN] données localisées 3D [Termes IGN] espace image [Termes IGN] espace objet [Termes IGN] ligne caractéristique [Termes IGN] objet géographique linéaire [Termes IGN] traitement d'image Résumé : (Auteur) In recent years, linear features have been gradually integrated into photogrammetry-related applications to estimate orientation parameters and facilitate object reconstruction, to name just a few. Yet, the correspondence of the conjugate linear features between different spaces or coordinate systems remains crucial to the goal of photogrammetric automation. When establishing exterior orientation of images on the line feature basis, the identifications and measurements of control line features must be involved. In this study, the authors develop an approach for effectively matching line features between object space and image space. The proposed algorithms start from projecting 3D line features into 2D image space employing collinearity equations with approximate orientation parameters. Then, the candidate lines detected from the images are chosen and matched with the 3D line features by imposing, in a sequential manner, geometric constraints that include angle, distance, reference point, and imaging geometry checks. Furthermore, a two-stage matching strategy, where the outcome of the first matching stage by partial 3D line features provides confined matching candidates for the second matching stage, is found effective in lowering the computational load, especially when faced with a great amount of 3D line features. Preliminary tests demonstrate successful, as well as satisfactory, 3D to 2D line feature correspondences using the proposed approach and strategy. Copyright ASPRS Numéro de notice : A2008-524 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.12.1521 En ligne : https://doi.org/10.14358/PERS.74.12.1521 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29593 [article]