Fredrick Park

Professor Fred Park is currently an Assistant Professor of Mathematics at Whittier College. His thesis work is in the area of image processing and his specific topic was total variation and duality for blind image deconvolution, staircase reduction, and texture extraction. His subsequent postdoctoral work has taken some related but different directions. Related work to his theses includes shape prior segmentation and shape modeling, while completely new directions are sparse recovery for foreground/background separation under variable lighting and small deformations, 3D point cloud surface reconstruction and processing and multi-view 3D surface reconstruction from projection slices. Park has taken every opportunity to teach courses at both the undergraduate lower division and upper division when a Postdoc at the University of Michigan at Ann Arbor, UCLA and UC Irvine to great success. In addition to teaching, he is continuing work in image processing, shape modeling/classification, and 3D surface reconstruction from PC data and multiple views. He would also like to continue his work in compressive sensing with fresh and novel applications in this framework. He would like to find ways to better incorporate research into the undergraduate setting. He feels that one of the key ways to motivate learning at all levels is by drawing inspiration from real world mathematical problems. This methodology is a key component in his teaching philosophy and has made a profound impact to all his students.

Research Interests

• Mathematical Image Processing
• Computer Vision
• Numerical PDE's
• Convex and Non-Convex Optimization
• Scientific Computing

Education

• Ph.D. University of California, Los Angeles (2000 — 2006)
• M.A. University of California, Los Angeles (1997 — 2000)
• BS University of California, Los Angeles

Publications

• A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Image Segmentation, In Proceedings. IEEE International Conference on Image Processing (ICIP), Sept. 25- 28th, Phoenix Arizona, USA, 2016. (with J. Xin and Y. Lou).
• Image Segmentation Using Clique Based Shape Prior and the Mumford Shah Functional, In Proceedings. IEEE International Conference on Image Processing (ICIP), Sept. 27-30th, Quebec City, Canada, 2015. (Recognized as part of the Top 10% papers in ICIP 2015).
• Parallelization of a Color-Entropy Preprocessed Chan-Vese Model for Face Contour Detection on MultiCore CPU and GPU, Parallel Computing, August 2015, pp. 28-49. (with X. Shi, L. Wang, J. Xin, and Y. Qi).
• Robert Sorgenfrey Distinguished Teaching Award, UCLA Postdoctoral Award for Teaching Excellence, Spring 2009