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Auteur Mehdi Mazaheri |
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Quaternion-based solutions for the single photo resection problem / Mehdi Mazaheri in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 3 (March 2015)
[article]
Titre : Quaternion-based solutions for the single photo resection problem Type de document : Article/Communication Auteurs : Mehdi Mazaheri, Auteur ; Ayman Habib, Auteur Année de publication : 2015 Article en page(s) : pp 209 - 217 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] matrice de rotation
[Termes IGN] photographie isolée
[Termes IGN] quaternion
[Termes IGN] relèvement photogrammétrique
[Termes IGN] transformation linéaire directeRésumé : (auteur) This paper introduces three quaternion-based approaches to solve the SPR problem. The first two are based on projective transformation and DLT coefficients through which the position of the perspective center is derived first using four or more planar and six or more non-planar object points, respectively. The rotation matrix is then directly estimated using quaternions. The third one (quaternion-based general approach) can handle three or more points in either planar or non-planar configuration. In this approach, the rotation angles are iteratively estimated first using quaternions without the need for user-defined approximations. Then, the position of the perspective center is directly derived. Experimental results show the feasibility of the proposed approaches and the high accuracy of the quaternion-based general approach, which is superior to the state-of-the-art non-iterative method and does not deviate more than 1 percent from the traditional non-linear SPR, i.e., the de-facto standard for the most accurate SPR solution. Numéro de notice : A2015-970 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.3.209-217 En ligne : https://doi.org/10.14358/PERS.81.3.209-217 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80028
in Photogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 3 (March 2015) . - pp 209 - 217[article]