World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
9334
World Ranking
7508
National Ranking
3266

Overview

Joseph L. Mundy is affiliated with Brown University in the United States. Their research spans several interdisciplinary fields and topics, prominently featuring satellite image processing and remote sensing techniques as well as health-related studies focusing on mental health and healthcare impacts during the COVID-19 pandemic.

The scientist has contributed to multiple fields of study including:

  • Ocean Engineering
  • Computer Vision and Pattern Recognition
  • Environmental Engineering
  • Clinical Psychology
  • Health

Their main research topics encompass:

  • Satellite Image Processing and Photogrammetry
  • Advanced Vision and Imaging
  • Remote Sensing and LiDAR Applications
  • COVID-19 and Mental Health
  • Health disparities and outcomes
  • COVID-19 and healthcare impacts

Joseph L. Mundy has published work in several academic venues, including:

  • IEEE Transactions on Geoscience and Remote Sensing
  • European Journal of Public Health
  • arXiv (Cornell University)

Some of the recent papers featuring or associated with this researcher include:

  • "Error Propagation in Satellite Multi-Image Geometry," 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "Mental health inequalities in disruptions across multiple domains during COVID -19: an investigation in 12 population-based longitudinal studies," 2021, European Journal of Public Health
  • "Physics Driven Image Simulation from Commercial Satellite Imagery," 2025, arXiv (Cornell University)

Their collaborative work involves frequent co-authors such as:

  • Hank Theiss
  • Eoin McElroy
  • Giorgio Di Gessa
  • Jane Maddock
  • Michael J. Green

Best Publications

  • Geometric invariance in computer vision

    Joseph L. Mundy;Andrew Zisserman

  • Appendix—projective geometry for machine vision

    Joseph L. Mundy;Andrew Zisserman

  • Invariant descriptors for 3D object recognition and pose

    D. Forsyth;J.L. Mundy;A. Zisserman;C. Coelho

  • Three-dimensional model matching from an unconstrained viewpoint

    Unknown

  • Planar object recognition using projective shape representation

    C. A. Rothwell;A. Zisserman;D. A. Forsyth;J. L. Mundy

  • Extracting projective structure from single perspective views of 3D point sets

    C.A. Rothwell;D.A. Forsyth;A. Zisserman;J.L. Mundy

  • Geometric reasoning

    Deepak Kapur;Joseph L. Mundy

  • Applications of invariance in computer vision

    Joseph L. Mundy;Andrew Zisserman;David Forsyth

  • 3D object recognition using invariance

    Andrew Zisserman;David Forsyth;Joseph Mundy;Charlie Rothwell

  • Change Detection in a 3-d World

    T. Pollard;J.L. Mundy

  • Driving vision by topology

    C.A. Rothwell;J.L. Mundy;W. Hoffman;V.-D. Nguyen

  • A Probabilistic-Based Design Methodology for Nanoscale Computation

    R. Iris Bahar;Joseph Mundy;Jie Chen

  • Canonical Frames for Planar Object Recognition

    Charlie Rothwell;Andrew Zisserman;David A. Forsyth;Joseph L. Mundy

  • Object Recognition in the Geometric Era: A Retrospective

    Joseph L. Mundy

  • Shape, Contour and Grouping in Computer Vision

    David A. Forsyth;Joseph L. Mundy;Vito Di Gesù;Roberto Cipolla

  • Vehicle Surveillance with a Generic, Adaptive, 3D Vehicle Model

    M J Leotta;J L Mundy

  • Designing logic circuits for probabilistic computation in the presence of noise

    K. Nepal;R. I. Bahar;J. Mundy;W. R. Patterson

  • Projectively invariant representations using implicit algebraic curves

    David Forsyth;Joseph L. Mundy;Andrew Zisserman;Christopher M. Brown

  • Predicting high resolution image edges with a generic, adaptive, 3-D vehicle model

    Matthew J Leotta;Joseph L Mundy

  • Finding shape deformations in objects with transformation parameters after registering

    Roderic G. Collins;Donald W. Hamilton;Joseph L. Mundy;Van-Duc Nguyen

  • Symbolic and Numerical Computation for Artificial Intelligence

    Bruce Randall Donald;Deepak Kapur;Joseph L. Mundy

Frequent Co-Authors

Andrew Zisserman
Andrew Zisserman University of Oxford
David Forsyth
David Forsyth University of Illinois at Urbana-Champaign
Deepak Kapur
Deepak Kapur University of New Mexico
Benjamin B. Kimia
Benjamin B. Kimia Brown University
Richard Hartley
Richard Hartley Australian National University
R. Iris Bahar
R. Iris Bahar Brown University
Olivier Faugeras
Olivier Faugeras Université Côte d'Azur
Gabriel Taubin
Gabriel Taubin Brown University
Peter Henry Tu
Peter Henry Tu General Electric (United States)
J. Alison Noble
J. Alison Noble University of Oxford

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