My research is in computational vision, in particular how to integrate mechanisms for visual recognition and perceptual organization with 3D scene understanding. We apply these computational models to a variety of problems including development of tools for biological image and shape analysis in neuroscience, animal development and palynology as well as applications to forensic science.



recent research highlights:






teaching:


Big Data Image Processing and Analysis.
Monday, September 18-22, 2017.
Center for Complex Biological Systems,
University of California, Irvine.



cs 117 : project in computer vision [w09,f13,s15]
ics 162 : modeling and world building [f12,s14,f15]
cs 116 : computational photography and vision [w10,w11,w13,w14,w16]
cs 216 : image understanding [f08,f10,f11,f12,s14,w16]
cs 217 : light and geometry in vision [s10,w12,s15]
cs 295 : research topics in vision [s09,w10,w11]
cs 177 : applications of probability in computer science [s08]


students:


advisees
past advisees and collaborators



awards:




funding:


My research is currently supported by: previously:

service and meetings organized: