H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 32 Citations 6,791 197 World Ranking 7274 National Ranking 184

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Geometry

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.

His most cited work include:

  • KAZE features (534 citations)
  • Fast explicit diffusion for accelerated features in nonlinear scale spaces (457 citations)
  • Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery. (205 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Artificial intelligence (71.21%)
  • Computer vision (58.75%)
  • Algorithm (23.35%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (71.21%)
  • Computer vision (58.75%)
  • Laparoscopy (8.56%)

In recent papers he was focusing on the following fields of study:

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.

Between 2016 and 2021, his most popular works were:

  • Isometric Non-Rigid Shape-from-Motion with Riemannian Geometry Solved in Linear Time (21 citations)
  • A Stable Analytical Framework for Isometric Shape-from-Template by Surface Integration (21 citations)
  • Inextensible Non-Rigid Structure-from-Motion by Second-Order Cone Programming (18 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Geometry

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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

KAZE features

Pablo Fern;ndez Alcantarilla;Adrien Bartoli;Andrew J. Davison.
european conference on computer vision (2012)

969 Citations

Fast explicit diffusion for accelerated features in nonlinear scale spaces

Pablo Fernández Alcantarilla;Jesús Nuevo;Adrien Bartoli.
british machine vision conference (2013)

811 Citations

Structure-from-motion using lines: representation, triangulation, and bundle adjustment

Adrien Bartoli;Peter Sturm.
Computer Vision and Image Understanding (2005)

247 Citations

Optical techniques for 3D surface reconstruction in computer-assisted laparoscopic surgery.

Lena Maier-Hein;Peter Mountney;Adrien Bartoli;Haytham Elhawary.
Medical Image Analysis (2013)

239 Citations

Monocular Template-based Reconstruction of Inextensible Surfaces

Mathieu Perriollat;Richard Hartley;Adrien Bartoli.
International Journal of Computer Vision (2011)

177 Citations

Groupwise Geometric and Photometric Direct Image Registration

A. Bartoli.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2008)

155 Citations

Coarse-to-fine low-rank structure-from-motion

A. Bartoli;V. Gay-Bellile;U. Castellani;J. Peyras.
computer vision and pattern recognition (2008)

143 Citations

Direct Estimation of Non-Rigid Registration.

Adrien Bartoli;Andrew Zisserman.
british machine vision conference (2004)

123 Citations

Feature-Based Deformable Surface Detection with Self-Occlusion Reasoning

Daniel Pizarro;Adrien Bartoli.
International Journal of Computer Vision (2012)

120 Citations

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)

119 Citations

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