Cheryl Lau

University of British Columbia
Department of Computer Science

2366 Main Mall
Vancouver, BC V6T1Z4
CANADA

cherylsl at cs dot ubc dot ca

I am a Ph.D. student in Computer Science at the University of British Columbia. I am affiliated with the Imager Graphics Laboratory, and my supervisor is Wolfgang Heidrich. I completed my bachelor's (2004) and master's (2006) degrees in Computer Science at Columbia University. Before coming to UBC, I also worked in the Sensor Engineering and Exploitation Department at The Aerospace Corporation in Chantilly, Virginia.

	Cluster Based Color Space Optimizations Cheryl Lau, Wolfgang Heidrich, Rafal Mantiuk Proc. IEEE International Conference on Computer Vision, 2011 We propose a unified framework to solve a wide variety of color space transformation problems including color to gray conversion, color gamut mapping, image optimization for color deficient viewers, and multispectral image fusion. Our cluster-based optimization method preserves local contrast while maintaining a realistic appearance.
	Glare Encoding of High Dynamic Range Images Mushfiqur Rouf, Rafal Mantiuk, Wolfgang Heidrich, Matthew Trentacoste, Cheryl Lau IEEE Conference on Computer Vision and Pattern Recognition, 2011 We capture high dynamic range images with a conventional image sensor using a cross-screen, or "star" filter, to spatially spread light energy from highlights. We decode the low dynamic range image and highlight information in software and combine both parts to create an image with higher dynamic range than the sensor.
	Defocus Techniques for Camera Dynamic Range Expansion Matthew Trentacoste, Cheryl Lau, Mushfiqur Rouf, Rafal Mantiuk, Wolfgang Heidrich Proc. of Human Vision and Electronic Imaging XXI, 2010 We determine whether any means of optically blurring the captured image by defocusing the lens, modifying that blurred image with a filter inserted into the optical path, then recovering the desired image by deconvolution can produce a dynamic range reduction with acceptable image quality.
	Joint Transform Optical Correlation Applied to Sub-Pixel Image Registration Thomas J. Grycewicz, Brian E. Evans, Cheryl S. Lau Proc. of SPIE vol. 5908, Optical Information Systems III, 2005 We develop a system which uses an optical joint transform correlator to achieve sub-pixel image registration. [paper] [conference presentation]