Papers

17

Total Citations

6,094

H-Index

10

About

Dana H. Ballard is a pioneering computer scientist and cognitive researcher whose work spans computer vision, robotics, and computational neuroscience. Best known for co-authoring "Color Indexing" (1991), one of the most influential papers in computer vision history with over 5,500 citations, Ballard helped establish histogram-based color matching as a foundational technique for real-time object recognition — a contribution that continues to shape the field decades later. Ballard's research has consistently explored how biological systems process visual information and how those principles can inform artificial systems. His 1992 work on "Principles of Animate Vision" advanced the idea that active, embodied perception — rather than passive image analysis — is central to intelligent behavior, a philosophy that runs throughout his career. This thread extends into his studies of hand-eye coordination, gaze behavior, and deictic human-robot interaction, where he investigates how humans deploy attention during complex tasks. More recently, Ballard has contributed to emerging discussions on human gaze-assisted AI (2020) and hierarchical models of primate vision (2021), demonstrating a career-long commitment to bridging biological cognition and machine intelligence. His work remains essential reading for researchers in robotics, cognitive science, and computer vision.

Research Focus

Key Achievements

10
H-Index
17
Papers
6,094
Total Citations
358
Avg Citations/Paper
🏆 Most Cited Paper
Color indexing
5,591 citations · 1991
📈 Most Prolific Year: 1991 (2 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: University of Rochester, The University of Texas at Austin

Top Papers

  1. 1
    Color indexing
    5,591 citations · 1991
  2. 2
    Principles of animate vision
    195 citations · 1992
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Key Collaborators

Contact & Links

Available for collaboration
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