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Image matching and surface registration for 3D reconstruction of a scoliotic torso / I. Detchev in Geomatica, vol 65 n° 2 (June 2011)  

Public [article]  inGeomatica > vol 65 n° 2 (June 2011) . - pp 175 - 187 Titre : Image matching and surface registration for 3D reconstruction of a scoliotic torso Type de document : Article/Communication Auteurs : I. Detchev, Auteur ; A. Habib, Auteur ; Y. Chang, Auteur Année de publication : 2011 Article en page(s) : pp 175 - 187 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] analyse diachronique [Termes IGN] appariement d'images [Termes IGN] étalonnage d'instrument [Termes IGN] imagerie médicale [Termes IGN] médecine humaine [Termes IGN] photogrammétrie médicale [Termes IGN] précision submillimétrique [Termes IGN] reconstruction 3D [Termes IGN] surveillance sanitaire Résumé : (Auteur) The focus of this research is a hierarchical image matching strategy and a multiple surface registration technique for 3D reconstruction of a scoliotic torso. Scoliosis is a deformity of the human spine most commonly occurring in children. After being detected, periodic examinations via x-rays are traditionally used to measure its progression. However, due to the increased risk of cancer, non-invasive and radiation-free scoliosis detection and progression monitoring methodologies are being researched. For example, quantifying the scoliotic deformity through the torso surface is a valid alternative because of its high correlation with the internal spine curvature. This work proposes a low-cost, multi-camera photogrammetric system for semi-automated 3D reconstruction of a torso surface with a sub-millimetre level accuracy. The paper first describes the system design and calibration for optimal accuracy. It then covers the reconstruction and registration procedures giving insights into the hierarchical image matching strategy and the multiple surface registration technique. Final accuracy is evaluated through the goodness of fit between the reconstructed surface and a more accurate set of points measured by a coordinate measuring machine. Numéro de notice : A2011-542 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.5623/cig2011-026 En ligne : https://doi.org/10.5623/cig2011-026 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31436 [article]

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Occlusion-based methodology for the classification of Lidar Data / A.F. Habib in Photogrammetric Engineering & Remote Sensing, PERS, vol 75 n° 6 (June 2009)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 75 n° 6 (June 2009) . - pp 703 - 712 Titre : Occlusion-based methodology for the classification of Lidar Data Type de document : Article/Communication Auteurs : A.F. Habib, Auteur ; Y. Chang, Auteur ; D.C. Lee, Auteur Année de publication : 2009 Article en page(s) : pp 703 - 712 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] angle nadiral [Termes IGN] changement d'utilisation du sol [Termes IGN] détection d'objet [Termes IGN] détection de partie cachée [Termes IGN] données lidar [Termes IGN] extraction automatique [Termes IGN] filtrage statistique [Termes IGN] interpolation [Termes IGN] lasergrammétrie [Termes IGN] modèle numérique de surface [Termes IGN] relief [Termes IGN] semis de points Résumé : (Auteur) Lidar systems have been widely adopted for the acquisition of dense and accurate topographic data over extended areas. The level of detail and the quality of the collected point cloud motivated the research community to investigate the possibility of automatic object extraction from such data. Prior knowledge of the terrain surface will improve the performance of object detection and extraction procedures. In this paper, a new strategy for automatic terrain extraction from lidar data is presented. The proposed strategy is based on the fact that sudden elevation changes, which usually correspond to non-ground objects, will cause relief displacements in perspective views. The introduced relief displacements will occlude neighboring ground points. To start the process, we generate a digital surface model (DSM) from the irregular lidar points using an interpolation procedure. The presence of sudden-elevation changes and the resulting occlusions can be discerned by sequentially checking the off-nadir angles to the lines of sight connecting the DSM cells and a pre-defined set of synthesized projection centers. Detected occlusions are then used to identify the occluding points, which are hypothesized to be non-ground points. Surface roughness and discontinuities together with inherent noise in the point cloud will lead to some false hypotheses. Therefore, we use a statistical filter to remove these false hypotheses. The performance of the algorithm has been evaluated and verified using both simulated and real lidar datasets with varying levels of complexity. Copyright ASPRS Numéro de notice : A2009-262 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.75.6.703 En ligne : https://doi.org/10.14358/PERS.75.6.703 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29892 [article]