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Statistical analysis of signal measurement in time-of-flight cameras / F. Mufti in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 5 (September - October 2011)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 66 n° 5 (September - October 2011) . - pp 720 - 731 Titre : Statistical analysis of signal measurement in time-of-flight cameras Type de document : Article/Communication Auteurs : F. Mufti, Auteur Année de publication : 2011 Article en page(s) : pp 720 - 731 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] acquisition d'images [Termes IGN] bruit (théorie du signal) [Termes IGN] caméra numérique [Termes IGN] image 3D [Termes IGN] intensité lumineuse [Termes IGN] phase [Termes IGN] photographie terrestre [Termes IGN] rapport signal sur bruit [Termes IGN] temps de vol [Termes IGN] traitement du signal Résumé : (Auteur) Three-dimensional imaging systems have evolved significantly in the last two decades due to increase in demand for tasks in the field of close range photogrammetry. The fast and growing need of 3D imaging devices has given rise to range image technology, especially time-of-flight (TOF) cameras, that provide direct measurement of distance between the camera and the targeted surface. A significant advantage of TOF devices over traditional range data sensors is their capability to provide frame rate range data over a full image array. In phase shift TOF cameras, phase shift sampling of the received signal is used to measure amplitude, phase and the offset (intensity) of the received signal. As a result, the quality of the measurement of these sensors depends heavily on signal-to-noise (SNR) of the incoming signal and the subsequent processing algorithms. A detailed understanding of the statistical distributions of the measurement parameters is crucial for accurate distance measurement analysis especially in low SNR scenarios. In this paper, we provide explicit noise models for the three parameters of amplitude, phase and intensity. The proposed stochastic model helps in investigating the effect of noise on signal and classifying range data reliability in TOF cameras. The model is used for prediction of errors in a TOF camera under various SNR conditions. Experimental verification confirms the validity of the model using real data for range error classification under different noise conditions. Numéro de notice : A2011-407 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.06.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.06.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31186 [article]

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081-2011051	SL	Revue	Centre de documentation	Revues en salle	Disponible

Building footprint database improvement for 3D reconstruction: A split and merge approach and its evaluation / Bruno Vallet in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 5 (September - October 2011)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 66 n° 5 (September - October 2011) . - pp 732 - 742 Titre : Building footprint database improvement for 3D reconstruction: A split and merge approach and its evaluation Type de document : Article/Communication Auteurs : Bruno Vallet , Auteur ; Marc Pierrot-Deseilligny , Auteur ; Didier Boldo , Auteur ; Mathieu Brédif , Auteur Année de publication : 2011 Article en page(s) : pp 732 - 742 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] base de données thématiques [Termes IGN] bati [Termes IGN] données vectorielles [Termes IGN] empreinte [Termes IGN] modèle numérique de surface [Termes IGN] polygone [Termes IGN] reconstruction 3D du bâti [Termes IGN] segmentation d'image [Termes IGN] zone urbaine Résumé : (Auteur) We present a general framework to improve a vectorial building footprint database consisting of a set of 2D polygons. The aim of this improvement is to make the database more proper to subsequent 3D building reconstruction at a large scale. Each polygon is split into several simple polygons guided by a digital elevation model (DEM). We say that this segmentation is vectorial as we produce segmentations that intrinsically have simple polygonal shapes, instead of doing a raster segmentation of the DEM within the polygon then trying to simplify it in a vectorization step. The method is based on a Mumford and Shah like energy functional characterizing the quality of the segmentation. We simplify the problem by imposing that the segmentation edges have directions present in the input polygon over which the DEM is defined. We evaluate the validity of the proposed method on a very large dataset and discuss its pros and cons based on this evaluation. Numéro de notice : A2011-408 Affiliation des auteurs : MATIS (1993-2011) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.06.005 Date de publication en ligne : 29/07/2011 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.06.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31187 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2011051	SL	Revue	Centre de documentation	Revues en salle	Disponible