H. Harlyn Baker

PhD, University of Illinois at Urbana Champaign

M.Phil, University of Edinburgh

B.Sc. (Hons.), University of Western Ontario

Email:	harlyn dot baker at hp dot com
Phone:	(650) 857-2584
Cell:	(650) 224-8120
Fax:	(650) 852-3791
Address:	Hewlett Packard Laboratories 1501 Page Mill Road, ms 1203 Palo Alto, CA 94304

I have worked in the field of computer vision for about three decades. From early studies in Edinburgh (under Donald Michie and Robin Milner) addressing 3D stereo modeling and recognition, stereo developments at Champaign-Urbana (under Dave Waltz), through dynamic-programming stereo research at the Stanford AI Lab (with Tom Binford) and some dozen years at SRI, where I co-developed Epipolar Plane Image (EPI) Analysis with Bob Bolles and David Marimont and created the first spatiotemporal manifold representation process, I have been an early and continuing contributor to the analysis of multi-image data. Applying 3D image analysis insights broadly, I have analyzed the structural implications of fossil data (Lucy and her contemporaries) and performed the earliest simulated surgical procedures/surface manipulations from acquired imagery.

While at SRI, I received one of the first government contracts to model anatomy from the NIH's Visible Human Dataset. The EPI work from that time, called seminal, has been instrumental in most later developments on Light Field analysis and holographic display representations, including RaySpace and Hogel formulations. On leaving Interval Research, I co-founded a real-time stereo ranging company (TYZX), then joined Hewlett-Packard Laboratories in 2000, where I was technical lead in developing an augmented-reality multi-participant videoconferencing technology, designed and structured camera systems to support this (now moving into their fourth generation), helped devise a cosmetics recommendation service using images acquired over cell phones, and moved more recently to development of automultiscopic imaging and display systems for 3D interaction and immersive experiences.

My focus throughout has been on exploiting massively redundant imaging for communication, visualization, and spatial understanding.