Richard Hartley

FRS, FAA, and Distinguished Professor Emeritus

Picture of Richard Hartley

Location
Brian Anderson Building 115, Office B321

Email
richard.hartley@anu.edu.au

Phone
+61 2 6125 8668

Clusters
Intelligent Systems

Website
https://users.cecs.anu.edu.au/~hartley/

Publications
ORCiD
dblp
Google Scholar

Biography

Professor Richard Hartley is an Australian Computer Vision researcher recognized for his significant contributions to understanding imaging geometry and scene reconstruction from multiple images. His work has facilitated the development of large-scale digital models of the world, solely based on input images or video footage.

After completing his PhD in pure mathematics, specializing in knot theory, at the University of Toronto, Professor Hartley held academic positions in mathematics. He subsequently joined General Electric in 1981. Initially focusing on Computer-Aided Design for integrated circuits, he later transitioned to computer vision. At GE, his projects included medical image analysis, industrial diamond shape characterization from images, and fingerprint recognition.

Professor Hartley’s research in scene analysis led to the co-authorship of the influential book Multiple View Geometry in Computer Vision with Andrew Zisserman (FRS). Since joining the Australian National University in 2001, he has continued to advance geometric methods in Computer Vision and Machine Learning. A particular focus of this work has been the application of methods of projective and Riemannian geometry to a variety of problems in Computer Vision.

Activities & Awards

Richard is Fellow of the Royal Society (2024) and Fellow of the Australian Academy of Science (2005), and winner of the Hannan Medal (2023) for Computer Vision.

Research

  • Artificial Intelligence And Image Processing 0801
  • Pattern Recognition And Data Mining 080109
  • Medical Biotechnology Diagnostics (Incl. Biosensors) 100402
  • Virtual Reality And Related Simulation 080111
  • Animal Cell And Molecular Biology 060802
  • Mental Health 111714
  • Information Retrieval And Web Search 080704
  • Signal Processing 090609
  • Computer Vision 080104
  • Image Processing 080106
  • Computer Human Interaction

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The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

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