D-Index & Metrics Best Publications

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 D-index 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. Citations Publications World Ranking National Ranking
Computer Science D-index 37 Citations 8,662 141 World Ranking 6651 National Ranking 161

Overview

What is he best known for?

The fields of study Edmond Boyer is best known for:

  • Computer vision
  • Politics
  • Gene

His study explores the link between Cinematography and topics such as Visual arts that cross with problems in Viewpoints. His study connects Visual arts and Viewpoints. Combining a variety of fields, including Quantum mechanics, Action (physics) and Motion (physics), are what the author presents in his essays. In his works, Edmond Boyer conducts interdisciplinary research on Action (physics) and Quantum mechanics. His study ties his expertise on Structure from motion together with the subject of Motion (physics). He conducts interdisciplinary study in the fields of Artificial intelligence and Human–computer interaction through his research. Edmond Boyer integrates Human–computer interaction and Computer vision in his research. He undertakes multidisciplinary studies into Computer vision and Motion estimation in his work. Motion estimation is closely attributed to Structure from motion in his research.

His most cited work include:

  • A survey of vision-based methods for action representation, segmentation and recognition (839 citations)
  • Free viewpoint action recognition using motion history volumes (777 citations)
  • Keypoints and Local Descriptors of Scalar Functions on 2D Manifolds (98 citations)

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

His Computer vision study typically links adjacent topics like Image (mathematics), Motion (physics) and Camera resectioning. His Image (mathematics) study frequently links to related topics such as Computer vision. Statistics is intertwined with Calibration and Algorithm in his research. He undertakes interdisciplinary study in the fields of Calibration and Statistics through his works. In his research, Edmond Boyer performs multidisciplinary study on Algorithm and Computer graphics (images). He merges Computer graphics (images) with Polygon mesh in his study. Edmond Boyer integrates Artificial intelligence and Artificial neural network in his studies. Geometry and Point (geometry) are two areas of study in which he engages in interdisciplinary research. Borrowing concepts from Geometry, he weaves in ideas under Point (geometry).

Edmond Boyer most often published in these fields:

  • Artificial intelligence (88.89%)
  • Computer vision (70.37%)
  • Geometry (51.85%)

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

A survey of vision-based methods for action representation, segmentation and recognition

Daniel Weinland;Remi Ronfard;Edmond Boyer.
Computer Vision and Image Understanding (2011)

1217 Citations

Free viewpoint action recognition using motion history volumes

Daniel Weinland;Remi Ronfard;Edmond Boyer.
Computer Vision and Image Understanding (2006)

1133 Citations

Action Recognition from Arbitrary Views using 3D Exemplars

D. Weinland;E. Boyer;R. Ronfard.
international conference on computer vision (2007)

595 Citations

Surface feature detection and description with applications to mesh matching

Andrei Zaharescu;Edmond Boyer;Kiran Varanasi;Radu Horaud.
computer vision and pattern recognition (2009)

551 Citations

Exact Polyhedral Visual Hulls

Jean-Sébastien Franco;Edmond Boyer.
british machine vision conference (2003)

304 Citations

FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis

Nitika Verma;Edmond Boyer;Jakob Verbeek.
computer vision and pattern recognition (2018)

294 Citations

Action recognition using exemplar-based embedding

D. Weinland;E. Boyer.
computer vision and pattern recognition (2008)

265 Citations

Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration

D. Mateus;R. Horaud;D. Knossow;F. Cuzzolin.
computer vision and pattern recognition (2008)

240 Citations

SHREC 2011: robust feature detection and description benchmark

E. Boyer;A. M. Bronstein;M. M. Bronstein;B. Bustos.
eurographics (2011)

209 Citations

Fusion of multiview silhouette cues using a space occupancy grid

J.-S. Franco;E. Boyer.
international conference on computer vision (2005)

206 Citations

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