Michael “Misha” Kazhdan, a professor of computer science at the Johns Hopkins University, is considered a leader in image and geometry processing, particularly in surface reconstruction and shape analysis. He has a secondary appointment in the Department of Mechanical Engineering and is affiliated with the Institute for Data-Intensive Engineering and Science.
His research group is interested in developing data structures and algorithms for efficiently reconstructing high-resolution surfaces from large point clouds and developing new techniques for analyzing the geometry of 3D shapes, providing a means for performing shape retrieval from databases of 3D models. Kazhdan has developed about 20 software programs, including PoissonRecon—which has been used by NASA in the reconstruction of the Martian landscape from data acquired by the Curiosity rover—TextureSignalProcessing, and ShapeGradientDomain.
Kazhdan is a recipient of an NSF CAREER Award and received a Microsoft Research Outstanding Collaborator Award in 2016. He serves on the program committee for the ACM SIGGRAPH conference, is an associate editor for ACM Transactions on Graphics, and serves on the Technical Papers Committee for the Symposium on Geometry Processing, from which he has also received a Test of Time Award.
Kazhdan received his bachelor’s degree in mathematics from Harvard University in 1997; he then earned a master’s degree and a PhD in computer science from Princeton University in 2001 and 2004, respectively. He joined the Whiting School of Engineering faculty in 2004.
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In collaboration with NIH and Lumo Imaging, Hopkins researchers demonstrate a computer vision framework to track the evolution of skin lesions over time in total-body photography.
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Misha Kazhdan's new Distributed Poisson Surface Reconstruction algorithm shares its computational load across PCs to deliver fast, accurate, and watertight reconstructions.
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Michael Kazhdan and collaborators will present two recent publications on geometric image processing at SIGGRAPH in August.