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Multimodal non-rigid registration methods based on local variability measures in computed tomography and magnetic resonance brain images.

, , , , , , , , and . IET Image Processing, 8 (12): 699-707 (2014)

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Phase correlation with sub-pixel accuracy: A comparative study in 1D and 2D., , , and . Comput. Vis. Image Underst., (2015)Fast vision-based scene modeling for augmented reality in unprepared man-made environments., and . J. Ambient Intell. Smart Environ., 5 (5): 525-537 (2013)Phase Correlation Based Image Alignment with Subpixel Accuracy., , , and . MICAI (1), volume 7629 of Lecture Notes in Computer Science, page 171-182. Springer, (2012)Real-time structure and motion recovery from two views of a multiplanar scene., and . ICCV Workshops, page 725-728. IEEE Computer Society, (2011)Non-rigid Multimodal Image Registration Based on the Expectation-Maximization Algorithm., , , , and . PSIVT, volume 8333 of Lecture Notes in Computer Science, page 36-47. Springer, (2013)Système de Réalité Augmentée basé sur l'observation de structures planes : conception et évaluation. (An augmented reality system based on planar structures : design and assessment).. Henri Poincaré University, Nancy, France, (2007)Fast vision-based multiplanar scene modeling in unprepared environments.. ISMAR, page 379-380. IEEE Computer Society, (2014)Image-Based In Situ Modeling for Augmented Reality Offices and Rooms: A Motion-Based General Purpose Augmented Reality (AR) System for Planar Piecewise Worlds.. Intelligent Environments, page 130-135. IEEE, (2012)Multimodal non-rigid registration methods based on local variability measures in computed tomography and magnetic resonance brain images., , , , , , , , and . IET Image Processing, 8 (12): 699-707 (2014)