Lynn Quam, talk, gold medal for Mars image processing

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Abstract/Contents

Abstract: Lynn Quam for creating an image retrieval system for planetary exploration. Lynn Quam and his colleagues developed an image indexing scheme for planetary exploration and picture differencing techniques to facilitate identification of things that changed over time. This was used by Carl Sagan and other astronomers who visited SAIL every few weeks to evaluate satellite photographs of Mars. Quam successfully solved the problem of detecting small changes in the planet surface in the presence of several extraneous factors. His system was subsequently applied to pictures of Mars taken by the Mariner 9 spacecraft while the mission was in progress.

Sponsor	Stanford Artificial Intelligence Laboratory
Speaker	Quam, Lynn Herman

Subject	Stanford Artificial Intelligence Laboratory
Subject	Artificial intelligence
Genre	Lectures

Series 4	Title Series
Finding Aid	Title Stanford Artificial Intelligence Laboratory Records (SC1041)
Location	https://purl.stanford.edu/mg815hb7011
Location	SC1041
Repository	Stanford University. Libraries. Department of Special Collections and University Archives

Use and reproduction: The materials are open for research use and may be used freely for non-commercial purposes with an attribution. For commercial permission requests, please contact the Stanford University Archives (universityarchives@stanford.edu).

Stanford Artificial Intelligence Laboratory records, 1963-2009

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