Steven Zucker
Research & Publications
Biography
News
Research Summary
Computational vision is at the heart of robotics and biomedicine but is still quite primitive when compared with our own visual sense. We effortlessly demonstrate enormous flexibility and generality, which hides its staggering complexity: more than one-third of the primate brain processes visual information. How do we characterize the function of billions of neurons in algorithmic terms? Steven Zucker is putting the requirements of vision systems together with insights from neurophysiology to develop an abstract theory of computational vision. Based on differential geometry, it leads to methods of curve detection, shading and texture analyses, and generic shape description. The key to studying and modeling vision is an interdisciplinary perspective, integrating computation, neuroscience, and mathematics.
Specialized Terms: Computational Neuroscience; Computational Vision
Research Interests
Biomedical Engineering; Computers; Mathematical Computing; Mathematics; Neurophysiology; Neurosciences; Robotics; Biomedical Research
Selected Publications
- Population encoding of stimulus features along the visual hierarchyDyballa L, Rudzite A, Hoseini M, Thapa M, Stryker M, Field G, Zucker S. Population encoding of stimulus features along the visual hierarchy. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2317773121. PMID: 38227668, PMCID: PMC10823231, DOI: 10.1073/pnas.2317773121.
- Good continuation in 3D: the neurogeometry of stereo visionBolelli M, Citti G, Sarti A, Zucker S. Good continuation in 3D: the neurogeometry of stereo vision. Frontiers In Computer Science 2024, 5: 1142621. PMID: 36713236, PMCID: PMC9882572, DOI: 10.3389/fcomp.2023.1142621.
- Predicting the effects of illumination in shape from shadingFleming R, Vergne R, Zucker S. Predicting the effects of illumination in shape from shading. Journal Of Vision 2013, 13: 611-611. DOI: 10.1167/13.9.611.
- Geometric diffusions for the analysis of data from sensor networksCoifman RR, Maggioni M, Zucker SW, Kevrekidis IG. Geometric diffusions for the analysis of data from sensor networks. Current Opinion In Neurobiology 2005, 15: 576-584. PMID: 16150587, DOI: 10.1016/j.conb.2005.08.012.
- Hue geometry and horizontal connectionsBen-Shahar O, Zucker SW. Hue geometry and horizontal connections. Neural Networks 2004, 17: 753-771. PMID: 15288896, DOI: 10.1016/j.neunet.2004.03.011.
- Connectionisn and the Computational Neurobiology of Curve DetectionZucker S, Dobbins A, Iverson L. Connectionisn and the Computational Neurobiology of Curve Detection. 1992, 277-296. DOI: 10.1093/oso/9780195076653.003.0009.