H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 75 Citations 43,597 201 World Ranking 599 National Ranking 364

Research.com Recognitions

Awards & Achievements

2017 - Distinguished Fellow of the British Machine Vision Association (BMVA)

2014 - Fellow of the Royal Academy of Engineering (UK)

2012 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to 3D computer vision research and its applications

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Algorithm

Andrew Fitzgibbon mostly deals with Artificial intelligence, Computer vision, Algorithm, Pose and Computer graphics. His Artificial intelligence research incorporates elements of Sequence and Pattern recognition. Andrew Fitzgibbon combines topics linked to Surface reconstruction with his work on Computer vision.

His Algorithm study combines topics in areas such as Mathematical optimization and Conic section. Andrew Fitzgibbon focuses mostly in the field of Pose, narrowing it down to matters related to Invariant and, in some cases, Depth perception. His study on Graphics hardware is often connected to User input as part of broader study in Computer graphics.

His most cited work include:

  • Real-time human pose recognition in parts from single depth images (3020 citations)
  • KinectFusion: Real-time dense surface mapping and tracking (2794 citations)
  • Bundle Adjustment - A Modern Synthesis (2753 citations)

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

Andrew Fitzgibbon mainly investigates Artificial intelligence, Computer vision, Computer graphics, Algorithm and Pattern recognition. His Object, Image, Pose, Pixel and Robustness study are his primary interests in Artificial intelligence. His Computer vision research focuses on Augmented reality, Iterative reconstruction, Tracking, 3D reconstruction and Camera resectioning.

His Computer graphics study frequently draws connections to other fields, such as Photogrammetry. Algorithm is closely attributed to Mathematical optimization in his study. His study in Feature extraction and Image segmentation is carried out as part of his studies in Pattern recognition.

He most often published in these fields:

  • Artificial intelligence (73.59%)
  • Computer vision (63.73%)
  • Computer graphics (16.55%)

What were the highlights of his more recent work (between 2012-2021)?

  • Artificial intelligence (73.59%)
  • Computer vision (63.73%)
  • Pose (7.39%)

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

His main research concerns Artificial intelligence, Computer vision, Pose, Tracking and Pixel. The study incorporates disciplines such as Machine learning and Pattern recognition in addition to Artificial intelligence. His studies in Computer vision integrate themes in fields like Computer graphics and Position.

The Tracking study combines topics in areas such as Function, Pipeline and 3d model. Andrew Fitzgibbon has included themes like RGB color model and Regularization in his Pixel study. His Articulated body pose estimation research integrates issues from Augmented reality and Invariant.

Between 2012 and 2021, his most popular works were:

  • Real-time human pose recognition in parts from single depth images (1890 citations)
  • Efficient Human Pose Estimation from Single Depth Images (445 citations)
  • Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images (430 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, Pose, Pixel and Camera auto-calibration. His research on Artificial intelligence often connects related topics like Pattern recognition. His research in Computer vision intersects with topics in Point, Computer graphics and Subdivision surface.

His studies in Pixel integrate themes in fields like Basis, Finite difference and Piecewise. His work in Articulated body pose estimation addresses issues such as Invariant, which are connected to fields such as Depth perception, Feature extraction, Shape analysis, Classifier and k-nearest neighbors algorithm. His 3D pose estimation study combines topics in areas such as Augmented reality and Cognitive neuroscience of visual object recognition.

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.

Top Publications

Real-time human pose recognition in parts from single depth images

Jamie Shotton;Andrew Fitzgibbon;Mat Cook;Toby Sharp.
computer vision and pattern recognition (2011)

5770 Citations

Bundle Adjustment - A Modern Synthesis

Bill Triggs;Philip F. McLauchlan;Richard I. Hartley;Andrew W. Fitzgibbon.
international conference on computer vision (1999)

4604 Citations

Real-time human pose recognition in parts from single depth images

Jamie Shotton;Toby Sharp;Alex Kipman;Andrew Fitzgibbon.
Communications of The ACM (2013)

3688 Citations

KinectFusion: Real-time dense surface mapping and tracking

Richard A. Newcombe;Shahram Izadi;Otmar Hilliges;David Molyneaux.
international symposium on mixed and augmented reality (2011)

3640 Citations

Direct least square fitting of ellipses

A. Fitzgibbon;M. Pilu;R.B. Fisher.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1999)

3313 Citations

KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera

Shahram Izadi;David Kim;Otmar Hilliges;David Molyneaux.
user interface software and technology (2011)

2222 Citations

An experimental comparison of range image segmentation algorithms

A. Hoover;G. Jean-Baptiste;X. Jiang;P.J. Flynn.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1996)

1106 Citations

Direct least squares fitting of ellipses

A.W. Fitzgibbon;M. Pilu;R.B. Fisher.
international conference on pattern recognition (1996)

999 Citations

Robust registration of 2D and 3D point sets

Andrew W. Fitzgibbon.
Image and Vision Computing (2003)

969 Citations

Simultaneous linear estimation of multiple view geometry and lens distortion

A.W. Fitzgibbon.
computer vision and pattern recognition (2001)

590 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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