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Gradient-Based Differential Approach for 3-D Motion Compensation in Interventional 2-D/3-D Image Fusion.

J. Wang, A. Borsdorf, B. Heigl, T. Köhler, and J. Hornegger. 3DV, page 293-300. IEEE Computer Society, (2014)

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Plenoptic Models in Robot Vision.J. Denzler, B. Heigl, M. Zobel, and H. Niemann. KI, 17 (3): 63- (2003)Calibration of Hand-Held Camera Sequences for Plenoptic Modeling.R. Koch, M. Pollefeys, B. Heigl, L. Gool, and H. Niemann. ICCV, page 585-591. IEEE Computer Society, (1999)Making the Invisible Visible: Highlight Substitution by Color Light Fields.F. Vogt, D. Paulus, B. Heigl, C. Vogelgsang, H. Niemann, G. Greiner, and C. Schick. CGIV, page 352-357. IS&T - The Society for Imaging Science and Technology, (2002)An Efficient Combination of 2D and 3D Shape Descriptions for Contour Based Tracking of Moving Objects.J. Denzler, B. Heigl, and H. Niemann. ECCV (1), volume 1406 of Lecture Notes in Computer Science, page 843-857. Springer, (1998)Automatic Image-Based Scene Model Acquisition and Visualization.C. Vogelgsang, B. Heigl, G. Greiner, and H. Niemann. VMV, page 189-198. Aka GmbH, (2000)Plenoptic scene modelling from uncalibrated image sequences.B. Heigl. University of Erlangen-Nuremberg, (2004)On the application of light field reconstruction for statistical object recognition.B. Heigl, J. Denzler, and H. Niemann. EUSIPCO, page 1-4. IEEE, (1998)The SFB 603 - Model Based Analysis and Visualization of Complex Scenes and Sensor Data.H. Niemann, B. Girod, H. Seidel, B. Heigl, W. Heidrich, and M. Magnor. GI Jahrestagung, page 319-328. Springer, (1998)Acquisition-related motion compensation for digital subtraction angiography.R. Ionasec, B. Heigl, and J. Hornegger. Comp. Med. Imag. and Graph., 33 (4): 256-266 (2009)MOBSY: Integration of Vision and Dialogue in Service Robots.M. Zobel, J. Denzler, B. Heigl, E. Nöth, D. Paulus, J. Schmidt, and G. Stemmer. ICVS, volume 2095 of Lecture Notes in Computer Science, page 50-62. Springer, (2001)

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Gradient-Based Differential Approach for 3-D Motion Compensation in Interventional 2-D/3-D Image Fusion.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Gradient-Based Differential Approach for 3-D Motion Compensation in Interventional 2-D/3-D Image Fusion.

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Gradient-Based Differential Approach for 3-D Motion Compensation in Interventional 2-D/3-D Image Fusion.