H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 42 Citations 7,838 89 World Ranking 4070 National Ranking 10

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Computer graphics

Paul Beardsley mainly investigates Artificial intelligence, Computer vision, Computer graphics, Camera resectioning and Projector. His research in Artificial intelligence intersects with topics in Transformation and Affine transformation. His work in the fields of Gaze overlaps with other areas such as Association.

His Computer graphics research incorporates elements of Object and Visualization. Paul Beardsley combines subjects such as Orientation, Motion field and Fundamental matrix with his study of Camera resectioning. His work deals with themes such as Signal and Transceiver, which intersect with Projector.

His most cited work include:

  • Design galleries: a general approach to setting parameters for computer graphics and animation (519 citations)
  • 3D Model Acquisition from Extended Image Sequences (368 citations)
  • iLamps: geometrically aware and self-configuring projectors (356 citations)

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

Paul Beardsley mainly focuses on Artificial intelligence, Computer vision, Computer graphics, Object and Projector. His study focuses on the intersection of Artificial intelligence and fields such as Affine transformation with connections in the field of Motion. His research integrates issues of Surface and Position in his study of Computer vision.

In his work, Annotation is strongly intertwined with Human–computer interaction, which is a subfield of Computer graphics. His Projector research is multidisciplinary, relying on both Homography and Projection. His Camera resectioning research is multidisciplinary, incorporating perspectives in Motion estimation, Motion field and Structure from motion.

He most often published in these fields:

  • Artificial intelligence (65.52%)
  • Computer vision (63.45%)
  • Computer graphics (32.41%)

What were the highlights of his more recent work (between 2013-2020)?

  • Artificial intelligence (65.52%)
  • Computer vision (63.45%)
  • Robot (11.03%)

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

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Robot, Human–computer interaction and Spray painting. His Artificial intelligence research focuses on RGB color model, Point cloud, Iterative reconstruction, Pixel and Segmentation. His Point cloud research incorporates elements of Bézier curve, Surface, Surface reconstruction, Visualization and Random forest.

His Pixel research is multidisciplinary, incorporating elements of Digital media, Facial expression, Computer graphics and Display device. Much of his study explores Computer vision relationship to Robot kinematics. His Spray painting study combines topics in areas such as Mechanism, Line and Nozzle.

Between 2013 and 2020, his most popular works were:

  • Collision avoidance for aerial vehicles in multi-agent scenarios (96 citations)
  • Shared control of semi-autonomous vehicles including collision avoidance in multi-agent scenarios (79 citations)
  • Robust and autonomous docking and recharging of quadrotors (73 citations)

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

  • Artificial intelligence
  • Computer vision
  • Robotics

His primary areas of investigation include Robot, Computer vision, Artificial intelligence, Motion planning and Control theory. In the field of Robot, his study on Robot control overlaps with subjects such as Process and Data collection. His work deals with themes such as Facial expression and Display device, which intersect with Computer vision.

The concepts of his Artificial intelligence study are interwoven with issues in Refraction and Mobile device. His work on Control theory and Trajectory as part of general Control theory research is frequently linked to Set, thereby connecting diverse disciplines of science. His Trajectory research integrates issues from Quadratic equation and Simulation.

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

Design galleries: a general approach to setting parameters for computer graphics and animation

J. Marks;B. Andalman;P. A. Beardsley;W. Freeman.
international conference on computer graphics and interactive techniques (1997)

718 Citations

3D Model Acquisition from Extended Image Sequences

Paul A. Beardsley;Philip H. S. Torr;Andrew Zisserman.
european conference on computer vision (1996)

615 Citations

iLamps: geometrically aware and self-configuring projectors

Ramesh Raskar;Jeroen van Baar;Paul Beardsley;Thomas Willwacher.
international conference on computer graphics and interactive techniques (2003)

539 Citations

Sequential Updating of Projective and Affine Structure from Motion

P. A. Beardsley;A. Zisserman;D. W. Murray.
International Journal of Computer Vision (1997)

422 Citations

High-quality single-shot capture of facial geometry

Thabo Beeler;Bernd Bickel;Paul Beardsley;Bob Sumner.
international conference on computer graphics and interactive techniques (2010)

346 Citations

Computer vision for interactive computer graphics

W.T. Freeman;D.B. Anderson;P. Beardsley;C.N. Dodge.
IEEE Computer Graphics and Applications (1998)

332 Citations

Image-based 3D photography using opacity hulls

Wojciech Matusik;Hanspeter Pfister;Addy Ngan;Paul Beardsley.
international conference on computer graphics and interactive techniques (2002)

302 Citations

High-quality passive facial performance capture using anchor frames

Thabo Beeler;Fabian Hahn;Derek Bradley;Bernd Bickel.
international conference on computer graphics and interactive techniques (2011)

284 Citations

RFIG lamps: interacting with a self-describing world via photosensing wireless tags and projectors

Ramesh Raskar;Paul Beardsley;Jeroen van Baar;Yao Wang.
international conference on computer graphics and interactive techniques (2004)

268 Citations

Optimal Reciprocal Collision Avoidance for Multiple Non-Holonomic Robots

Javier Alonso-Mora;Javier Alonso-Mora;Andreas Breitenmoser;Martin Rufli;Paul Beardsley.
distributed autonomous robotic systems (2013)

209 Citations

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Best Scientists Citing Paul Beardsley

Marc Pollefeys

Marc Pollefeys

ETH Zurich

Publications: 52

Andrew Zisserman

Andrew Zisserman

University of Oxford

Publications: 40

Markus Gross

Markus Gross

ETH Zurich

Publications: 37

Luc Van Gool

Luc Van Gool

ETH Zurich

Publications: 36

Hao Li

Hao Li

University of California, Berkeley

Publications: 33

Andrew D. Wilson

Andrew D. Wilson

Microsoft (United States)

Publications: 33

Robert W. Lord

Robert W. Lord

Microsoft (United States)

Publications: 30

Lowell L. Wood

Lowell L. Wood

University of Washington

Publications: 30

Royce A. Levien

Royce A. Levien

Fortress Invention

Publications: 30

John D. Rinaldo

John D. Rinaldo

SEARETE LLC

Publications: 30

Mark A. Malamud

Mark A. Malamud

Microsoft (United States)

Publications: 30

Reinhard Koch

Reinhard Koch

Kiel University

Publications: 29

Edward K. Y. Jung

Edward K. Y. Jung

Nortel (Canada)

Publications: 29

Paul Debevec

Paul Debevec

Google (United States)

Publications: 28

Ramesh Raskar

Ramesh Raskar

MIT

Publications: 27

Andrew Fitzgibbon

Andrew Fitzgibbon

Microsoft (United States)

Publications: 23

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