D-Index & Metrics Best Publications

Paul Beardsley

Weta Digital
New Zealand

Computer Science

New Zealand

2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 48 Citations 8,945 134 World Ranking 4043 National Ranking 9

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in New Zealand Leader Award

2022 - Research.com Computer Science in New Zealand Leader Award

Overview

What is he best known for?

The fields of study Paul Beardsley is best known for:

Telecommunications
Optimal control
Mathematical optimization

His work in Computer vision is not limited to one particular discipline; it also encompasses Single camera, Image (mathematics) and Projector. His Image (mathematics) study often links to related topics such as Computer vision. His Statistics study overlaps with Matching (statistics) and Estimator. Paul Beardsley integrates Estimator and Statistics in his research. Many of his studies on Artificial intelligence apply to Pattern recognition (psychology) as well. Pattern recognition (psychology) and Artificial intelligence are frequently intertwined in his study. His work blends Computer security and Security token studies together. Paul Beardsley combines Security token and Computer security in his research. His Algorithm study frequently draws parallels with other fields, such as Projection (relational algebra).

His most cited work include:

3D model acquisition from extended image sequences (287 citations)
Collision avoidance for aerial vehicles in multi-agent scenarios (121 citations)
RFIG lamps (119 citations)

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

In the field of Computer vision Paul Beardsley connects related research areas like Projector, Camera resectioning and Image (mathematics). His research combines Computer vision and Image (mathematics). His study in Pattern recognition (psychology) extends to Artificial intelligence with its themes. His Pattern recognition (psychology) study typically links adjacent topics like Artificial intelligence. He conducts interdisciplinary study in the fields of Computer graphics (images) and Virtual reality through his research. Virtual reality and Computer graphics (images) are two areas of study in which he engages in interdisciplinary research. His research on Algorithm frequently connects to adjacent areas such as Projection (relational algebra). His research on Projection (relational algebra) frequently links to adjacent areas such as Algorithm. In his articles, Paul Beardsley combines various disciplines, including Statistics and Calibration.

Paul Beardsley most often published in these fields:

Artificial intelligence (93.33%)
Computer vision (73.33%)
Computer graphics (images) (60.00%)

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)

783 Citations

3D Model Acquisition from Extended Image Sequences

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

635 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)

554 Citations

Sequential Updating of Projective and Affine Structure from Motion

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

426 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)

399 Citations

Computer vision for interactive computer graphics

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

347 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)

324 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)

300 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)

281 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)

238 Citations

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Paul Beardsley

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Research.com Recognitions

Awards & Achievements

Overview

What is he best known for?

The fields of study Paul Beardsley is best known for:

His most cited work include:

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

Paul Beardsley most often published in these fields:

Best Publications

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