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Stereo-imaging network design for precise and dense 3D reconstruction / Ali Hosseininaveh Ahmadabadian in Photogrammetric record, vol 29 n° 147 (September - November 2014)  

Public [article]  inPhotogrammetric record > vol 29 n° 147 (September - November 2014) . - pp 317 - 336 Titre : Stereo-imaging network design for precise and dense 3D reconstruction Type de document : Article/Communication Auteurs : Ali Hosseininaveh Ahmadabadian, Auteur ; S. Robson, Auteur ; Jan Böhm , Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 317 - 336 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] angle de visée [Termes IGN] modèle stéréoscopique [Termes IGN] photogrammétrie terrestre [Termes IGN] reconstruction 3D [Termes IGN] système de référence local Résumé : (Auteur) This paper presents a novel stereo-imaging network design strategy comprising four steps: datum definition, optimum distance estimation, candidate camera position generation, and lastly clustering and selection of vantage viewpoints. An approximate 3D mesh model of an object from a quick low-cost system is used in the first step of the method. An ellipsoid is fitted to the rough model in order to find a suitable imaging distance regarding range- and visibility-related constraints for a stereopair. Next, a set of viewpoints is provided taking into account the ellipsoid and the calculated distance. Finally, camera positions and orientations are defined by clustering and choosing the vantage viewpoints. A system, called “imaging network designer” (IND), has been developed based on this method and is evaluated with two different tests. Results show that IND can provide an imaging network, which fulfils the expected precision for the entire object. Numéro de notice : A2014-491 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12076 Date de publication en ligne : 18/09/2014 En ligne : https://doi.org/10.1111/phor.12076 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74080 [article]

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A comparison of dense matching algorithms for scaled surface reconstruction using stereo camera rigs / Ali Hosseininaveh Ahmadabadian in ISPRS Journal of photogrammetry and remote sensing, vol 78 (April 2013)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 78 (April 2013) . - pp 157 - 167 Titre : A comparison of dense matching algorithms for scaled surface reconstruction using stereo camera rigs Type de document : Article/Communication Auteurs : Ali Hosseininaveh Ahmadabadian, Auteur ; Stuart Robson, Auteur ; Johannes Böhm , Auteur Année de publication : 2013 Article en page(s) : pp 157 - 167 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] appariement d'images [Termes IGN] appariement dense [Termes IGN] caméra numérique [Termes IGN] compensation par faisceaux [Termes IGN] contrainte géométrique [Termes IGN] espace objet [Termes IGN] MicMac [Termes IGN] photogrammétrie métrologique [Termes IGN] précision stéréoscopique [Termes IGN] reconstruction 3D [Termes IGN] reconstruction d'objet [Termes IGN] semis de points [Termes IGN] structure-from-motion Résumé : (Auteur) Photogrammetric methods for dense 3D surface reconstruction are increasingly available to both professional and amateur users who have requirements that span a wide variety of applications. One of the key concerns in choosing an appropriate method is to understand the achievable accuracy and how choices made within the workflow can alter that outcome. In this paper we consider accuracy in two components: the ability to generate a correctly scaled 3D model; and the ability to automatically deliver a high quality data set that provides good agreement to a reference surface. The determination of scale information is particularly important, since a network of images usually only provides angle measurements and thus leads to unscaled geometry. A solution is the introduction of known distances in object space, such as base lines between camera stations or distances between control points. In order to avoid using known object distances, the method presented in this paper exploits a calibrated stereo camera utilizing the calibrated base line information from the camera pair as an observational based geometric constraint. The method provides distance information throughout the object volume by orbiting the object. In order to test the performance of this approach, four topical surface matching methods have been investigated to determine their ability to produce accurate, dense point clouds. The methods include two versions of Semi-Global Matching as well as MicMac and Patch-based Multi-View Stereo (PMVS). These methods are implemented on a set of stereo images captured from four carefully selected objects by using (1) an off-the-shelf low cost 3D camera and (2) a pair of Nikon D700 DSLR cameras rigidly mounted in close proximity to each other. Inter-comparisons demonstrate the subtle differences between each of these permutations. The point clouds are also compared to a dataset obtained with a Nikon MMD laser scanner. Finally, the established process of achieving accurate point clouds from images and known object space distances are compared with the presented strategies. Results from the matching demonstrate that if a good imaging network is provided, using a stereo camera and bundle adjustment with geometric constraints can effectively resolve the scale. Among the strategies for dense 3D reconstruction, using the presented method for solving the scale problem and PMVS on the images captured with two DSLR cameras resulted in a dense point cloud as accurate as the Nikon laser scanner dataset. Numéro de notice : A2013-184 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.01.015 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.01.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32322 [article]

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