PeopleofSuperintelligence

Researcher

Charles R. Dyer

Also known as Chuck Dyer

Charles Dyer is a computer vision researcher whose work spans image analysis, shape representations, object recognition, and 3D scene reconstruction. He earned degrees at Stanford, UCLA, and Maryland, spent three years at the University of Illinois at Chicago, and joined the University of Wisconsin–Madison faculty in 1982. He served as chair of Wisconsin's Department of Computer Sciences and as a CVPR Program Co-Chair in 1996 and General Co-Chair in 2003. With Steven Seitz, he published a voxel-coloring method for scene reconstruction in 1999 and became an IAPR Fellow in 2002. As of October 2026, he is Professor Emeritus of Computer Sciences and Biostatistics and Medical Informatics at UW–Madison.

Works
167
Citations
8,985
h-index
40
Badges

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 1973–1982

    Education and early posts

    He earns a B.S. in mathematical sciences at Stanford in 1973, an M.S. in computer science at UCLA in 1974, and a Ph.D. in computer science at the University of Maryland in 1979 under Azriel Rosenfeld. He spends three years at the University of Illinois at Chicago and joins UW–Madison's faculty in 1982.

  2. 1982–2017

    Computer vision research

    He serves on the UW–Madison faculty from 1982 to 2017. His computer vision research covers 2D and 3D shape and image representations, quadtrees, aspect graphs, pyramid algorithms, 3D scene reconstruction, computational photography, object and face recognition, texture analysis, and image segmentation.

  3. 1987–1993

    Department chair roles

    He serves as Associate Chair of UW–Madison's Department of Computer Sciences from 1987 to 1990 and Chair from 1990 to 1993.

  4. 1996–2003

    Leadership at CVPR

    He serves as Program Co-Chair of CVPR in 1996 and General Co-Chair in 2003.

  5. 1999–2000

    Visiting at Oxford

    He holds a visiting fellowship at Exeter College, University of Oxford, in 1999–2000.

  6. 1999

    Voxel coloring for reconstruction

    In 1999, he and Steven Seitz publish “Photorealistic Scene Reconstruction by Voxel Coloring.” The method traverses scene voxels in a fixed visibility order to reconstruct a scene from images.

  7. 2002

    An IAPR fellowship

    He is named an IAPR Fellow in 2002 for contributions to computer vision and image processing.

  8. As of October 2026

    Professor emeritus at Wisconsin

    As of October 2026, he is Professor Emeritus of Computer Sciences and Biostatistics and Medical Informatics at the University of Wisconsin–Madison.

Career

  1. Since 1982University of Wisconsin–MadisonProfessor Emeritus, Associate Chair
  2. 1999–2000University of OxfordVisiting Fellow
  3. 1979–1982University of Illinois Chicago

Education

  1. 1979University of MarylandPh.D. in computer science
  2. 1974University of California, Los AngelesM.S. in computer science
  3. 1973Stanford UniversityB.S. in mathematical sciences

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. A Comparative Study of Texture Measures for Terrain Classification1976 · IEEE Transactions on Systems Man and Cybernetics · 1,525 citationsWith Azriel Rosenfeld
  2. View morphing1996 · ACM SIGGRAPH Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH) · 719 citationsWith Steven Seitz
  3. Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression2008 · IEEE Transactions on Image Processing · 646 citationsWith Thomas Huang and Yun Raymond Fu
  4. Model-based recognition in robot vision1986 · ACM Computing Surveys · 567 citations
  5. Photorealistic scene reconstruction by voxel coloring2002 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 543 citationsWith Steven Seitz

From OpenAlex, as of 19 October 2026.

  1. Stanford University trained or employed 26 of the 108 AI major-prize winners, more than any other universityIncludes University of Wisconsin–Madison. Stanford University trained or employed 26 of the 108 AI major-prize winners, more than any other university. We compare doctorate and employment links for major-prize and best-paper winners.
  2. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of Wisconsin–Madison. Our estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.
  3. The company share of AI researchers’ top papers rose from 2% to 32%Includes University of Wisconsin–Madison. We estimate where leading AI researchers worked when their most-cited papers appeared. The company share rose from 2% in 1975–1979 to 32% in 2020–2024.
  4. Google has the highest combined h-index among AI organizationsIncludes University of Wisconsin–Madison. Our estimates of combined and median h-index at AI organizations, using current affiliations and OpenAlex records.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Charles Dyer pages.cs.wisc.edu. Checked 18 October 2026.
  2. Alumni Hall Of Fame | UMD Department of Computer Science cs.umd.edu. Checked 18 October 2026.
  3. CVPR 2003 Organizing Committee cs.toronto.edu. Checked 18 October 2026.
  4. Photorealistic Scene Reconstruction by Voxel Coloring publications.ri.cmu.edu. Checked 18 October 2026.
  5. Chronological List of IAPR Fellows – International Association for Pattern Recognition iapr.org. Checked 18 October 2026.