Artificial intelligence, Computer vision, Point, Algorithm and Surface are his primary areas of study. Many of his studies on Artificial intelligence involve topics that are commonly interrelated, such as Surface reconstruction. His Computer vision research is multidisciplinary, incorporating perspectives in Rolling shutter and Line.
His Point study combines topics from a wide range of disciplines, such as Plane and Pattern recognition. His Algorithm research includes elements of Solid modeling, Binary number, Scale space, Invariant and Mathematical optimization. The Surface study combines topics in areas such as Image and Topology.
Adrien Bartoli mostly deals with Artificial intelligence, Computer vision, Algorithm, Surface and Image registration. His study in Iterative reconstruction, Image, 3D reconstruction, Motion estimation and Bundle adjustment is done as part of Artificial intelligence. His Bundle adjustment study which covers Reprojection error that intersects with Piecewise.
His research ties Point and Computer vision together. His studies deal with areas such as Metric, Topology, Affine transformation, Projection and Mathematical optimization as well as Algorithm. His Surface research is multidisciplinary, incorporating perspectives in Smoothness, Conformal map, Mathematical analysis, Regular polygon and Pattern recognition.
His main research concerns Artificial intelligence, Computer vision, Laparoscopy, Augmented reality and Surface. His work deals with themes such as Specularity, Affine transformation and Surface reconstruction, which intersect with Artificial intelligence. His Shading research extends to Computer vision, which is thematically connected.
His Laparoscopy study combines topics from a wide range of disciplines, such as Leiomyoma, Uterine myomectomy and Magnetic resonance imaging. Adrien Bartoli has researched Augmented reality in several fields, including Liver surgery, Silhouette, Surgery and Uterus. Adrien Bartoli combines subjects such as Projection, Regular polygon, Image, Algorithm and Iterative reconstruction with his study of Surface.
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Augmented reality, Laparoscopy and Monocular. The concepts of his Artificial intelligence study are interwoven with issues in Affine transformation, Interventional radiology and Surface reconstruction. His research investigates the connection with Surface reconstruction and areas like Algorithm which intersect with concerns in Projection, 3D reconstruction and Robustness.
When carried out as part of a general Computer vision research project, his work on Image is frequently linked to work in Soft body, therefore connecting diverse disciplines of study. His research integrates issues of Laparoscopic surgery and Surgery, Abdominal surgery in his study of Augmented reality. The various areas that Adrien Bartoli examines in his Monocular study include Imaging phantom, Frame rate and Sensory cue.
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Pablo Fern;ndez Alcantarilla;Adrien Bartoli;Andrew J. Davison.
european conference on computer vision (2012)
Fast explicit diffusion for accelerated features in nonlinear scale spaces
Pablo Fernández Alcantarilla;Jesús Nuevo;Adrien Bartoli.
british machine vision conference (2013)
Structure-from-motion using lines: representation, triangulation, and bundle adjustment
Adrien Bartoli;Peter Sturm.
Computer Vision and Image Understanding (2005)
Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery.
Lena Maier-Hein;Peter Mountney;Adrien Bartoli;Haytham Elhawary.
Medical Image Analysis (2013)
Monocular Template-based Reconstruction of Inextensible Surfaces
Mathieu Perriollat;Richard Hartley;Adrien Bartoli.
International Journal of Computer Vision (2011)
Groupwise Geometric and Photometric Direct Image Registration
IEEE Transactions on Pattern Analysis and Machine Intelligence (2008)
Coarse-to-fine low-rank structure-from-motion
A. Bartoli;V. Gay-Bellile;U. Castellani;J. Peyras.
computer vision and pattern recognition (2008)
Direct Estimation of Non-Rigid Registration.
Adrien Bartoli;Andrew Zisserman.
british machine vision conference (2004)
Feature-Based Deformable Surface Detection with Self-Occlusion Reasoning
Daniel Pizarro;Adrien Bartoli.
International Journal of Computer Vision (2012)
Direct Estimation of Nonrigid Registrations with Image-Based Self-Occlusion Reasoning
V. Gay-Bellile;A. Bartoli;P. Sayd.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)
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