Papers

15

Total Citations

278

H-Index

8

About

Donald G. Dansereau is a leading researcher in computational imaging and robotic vision, with a primary focus on light field cameras and plenoptic signal processing. His major contributions include pioneering work on plenoptic flow, where he proposed the first closed-form solutions for six-degree-of-freedom visual odometry using light field cameras—a breakthrough that has garnered 66 citations and laid the foundation for robust robot navigation. He also introduced the first light field image-based visual servoing framework, enabling precise robot control directly from light field features (35 citations). Dansereau’s work extends to challenging environments, such as distinguishing refracted features for structure from motion (19 citations) and restoring images in scattering media (4 citations). His research has significant impact in field robotics, including benthic monitoring for Australia’s Integrated Marine Observing System, and he has advanced multidimensional circuit design for emerging applications like cognitive radio and robot vision (58 citations). With over 265 total citations across his top papers, Dansereau’s innovations in light field signal processing are critical for robots operating in low-light, refractive, or underwater conditions, making him a key figure in the intersection of computational imaging and autonomous systems.

Research Focus

Key Achievements

8
H-Index
15
Papers
278
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Plenoptic flow: Closed-form visual odometry for light field cameras
66 citations · 2011
📈 Most Prolific Year: 2013 (3 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: Australian Centre for Robotic Vision, The University of Sydney, Stanford University, Queensland University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago