Global ETD Search

1	3D time of flight distance measurement with custom solid state image sensors in CMOS, CCD technology Lange, Robert. January 2000 (has links) (PDF) Siegen, University, Diss., 2000. Dreidimensionales maschinelles Sehen
2	Aufbau einer bildgestützten Vermessungsanlage zur Koordination eines Robotergreifarms im Rahmen der Automobilproduktion Schenk, Wolfram. January 1998 (has links) Stuttgart, Univ., Fakultät Informatik, Diplomarb., 1998.
3	Single-photon image sensors in CMOS : picosecond resolution for three-dimensional imaging / Niclass, Cristiano, January 2008 (has links) Eidgenössisch Technische Hochschule Lausanne, Diss., 2008.
4	Modellbasierte Segmentierung und Objekterkennung aus Distanzbildern / Böhm, Jan. January 2005 (has links) Zugl.: Stuttgart, Universiẗat, Diss., 2004. / Zugl.: Stuttgart, Univ., Diss., 2004.
5	Dreidimensionales optisches Messsystem für eine effizientere geometrische Maschinenbeurteilung / Schmalzried, Siegfried. January 2007 (has links) Zugl.: Karlsruhe, Universiẗat, Diss., 2007.
6	Virtuelle 2D-Scans - ein Verfahren zur echtzeitfähigen Roboternavigation mit dreidimensionalen Umgebungsdaten Wulf, Oliver January 2008 (has links) Zugl.: Hannover, Univ., Diss., 2008
7	Verfahren zur modellbasierten Restauration von Zahndefekten / Gürke, Sven. January 2004 (has links) Thesis (doctoral)--Techn. Universiẗat, Darmstadt, 2003.
8	Über den Einsatz einer Laser-Entfernungsbildkamera an autonomen Fahrzeugen Steffen, Kai. Unknown Date (has links) (PDF) Universiẗat, Diss., 2002--Bremen.
9	Towards Dense Visual SLAM Pietzsch, Tobias 05 December 2011 (has links) (PDF) Visual Simultaneous Localisation and Mapping (SLAM) is concerned with simultaneously estimating the pose of a camera and a map of the environment from a sequence of images. Traditionally, sparse maps comprising isolated point features have been employed, which facilitate robust localisation but are not well suited to advanced applications. In this thesis, we present map representations that allow a more dense description of the environment. In one approach, planar features are used to represent textured planar surfaces in the scene. This model is applied within a visual SLAM framework based on the Extended Kalman Filter. We presents solutions to several challenges which arise from this approach. Simultane Lokalisierung und Kartierung SLAM Visuelles SLAM Erweiterte Realität Inverse-Tiefe-Parametrisierung Bildverarbeitung Dreidimensionales Maschinelles Sehen Stereo-Sehen Flächen-Modelle Simultaneous Localization And Mapping Visual SLAM Stereo Vision Augmented Reality Extended Kalman Filter Inverse Depth Higher-Level Features Planar Features Dense Mapping Dense Maps Direct Measurement Method Visual SLAM Evaluation ddc:004 rvk:ST 308 SLAM-Verfahren Erweiterte Realität <Informatik> Bildfolgenverarbeitung Bildverarbeitung Lokalisierung <Robotik> Dreidimensionales maschinelles Sehen
10	Towards Dense Visual SLAM Pietzsch, Tobias 07 June 2011 (has links) Visual Simultaneous Localisation and Mapping (SLAM) is concerned with simultaneously estimating the pose of a camera and a map of the environment from a sequence of images. Traditionally, sparse maps comprising isolated point features have been employed, which facilitate robust localisation but are not well suited to advanced applications. In this thesis, we present map representations that allow a more dense description of the environment. In one approach, planar features are used to represent textured planar surfaces in the scene. This model is applied within a visual SLAM framework based on the Extended Kalman Filter. We presents solutions to several challenges which arise from this approach. info:eu-repo/classification/ddc/004 ddc:004

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