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Cornelia Fermuller
PeerJ Editor
200 Points

Contributions by role

Editor 200

Contributions by subject area

Computer Vision
Scientific Computing and Simulation
Artificial Intelligence
Data Mining and Machine Learning

Cornelia Fermuller

PeerJ Editor

Summary

Cornelia Fermüller’s research is in the areas of Computer Vision and Human Vision. She has studied multiple view geometry and statistics, and her work includes view-invariant texture descriptors, 3D motion and shape estimation, image segmentation, and computational explanations and predictions of optical illusions. Her recent work focuses on the integration of perception, action and high-level reasoning to develop cognitive robots that can understand and learn human manipulation actions.

Computer Vision Robotics

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

University of Maryland

Work details

Associate Research Scientist

University of Maryland
UMIACS

Associate Research Scientist

University of Maryland
UMIACS

Websites

  • homepage
  • Google Scholar

PeerJ Contributions