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Rectified feature matching for spherical panoramic images / Tzu-Yi Chuang in Photogrammetric Engineering & Remote Sensing, PERS, vol 84 n° 1 (January 2018)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 84 n° 1 (January 2018) . - pp 25 - 32 Titre : Rectified feature matching for spherical panoramic images Type de document : Article/Communication Auteurs : Tzu-Yi Chuang, Auteur ; N.H. Perng, Auteur Année de publication : 2018 Article en page(s) : pp 25 - 32 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] appariement d'images [Termes IGN] image hémisphérique [Termes IGN] image panoramique Résumé : (Auteur) Spherical panoramic image processing has received renewed interest in the fields of photogrammetry and computer vision. The difficulty in spherical matching is largely due to inevitable image distortions introduced from the equirectangular projection. In this paper, we present an effective strategy for tackling the problem of distortion to improve the performance of spherical image matching. The effectiveness of the rectified matching is evaluated with simulated data and compared with state-of-art methods. In addition, experiments with respect to matching between omnidirectional and planar images, establishing 2D-to-3D correspondence with lidar, and the pose estimation of a spherical image sequence are conducted. The results verify the utility of the proposed method, which provides stable and evenly distributed corresponding points, and it is suitable for integration with conventional techniques for further 3D exploitation of imagery. Numéro de notice : A2018-021 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.84.1.25 En ligne : https://doi.org/10.14358/PERS.84.1.25 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89168 [article]

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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]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
106-2015011	RAB	Revue	Centre de documentation	En réserve L003	Disponible