Joseph Geumlek

Joseph Geumlek

Data Scientist at Kaiser Permanente. Interests are in machine learning, with a focus in privacy preserving techniques such as differential privacy. I am also interested in teaching and science communication. Outside of work, I enjoy video games and other such interactive fiction.

Contextual Point Matching for Video Stabilization

Published in SIURO, Volume 6, 2013

Recommended citation: Meng, Ling Han, Joseph Geumlek, Holly Chu, Justin Hoogenstyrd, and Ernie Esser (2013). "Contextual point matching for video stabilization." SIAM Undergraduate Research Online. Volume 6. http://evoq-eval.siam.org/Portals/0/Publications/SIURO/Vol6/CONTEXTUAL_POINT_MATCHING_FOR_VIDEO_STABILIZATION.pdf?ver=2018-04-06-151848-293

This work explores the use of contextual shape descriptors for the purposes of video stabilization. We apply it to a particular pathological video, consisting of a sketch of a sea shell which contains a high degree of self-similarity at various scales.

This work was performed as undergraduate research at the University of California Irvine.

Download the paper here