Computational Models for Predicting Visual Target Distinctness

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Jose A. Garcia
SPIE Press, 2001 - Technology & Engineering - 202 pages
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Spanish computer scientists and physicist consider two different situations in predicting visual target distinctness by means of a computer vision model. First, they assume that the structure of the target-and-background scene and the image without a target can be determined exactly, so that the mai

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Models of feature perception in distortion measure guidance
Computational measures based on spacefrequency analysis
Defining the notion of visual pattern

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About the author (2001)

As a policy fellow at the National Council of La Raza (NCLR), Jose Garcia is responsible for developing and executing a project plan and agenda for evaluating and analyzing relevant housing and banking public policies that affect the Latino community, with an emphasis on housing finance and the secondary mortgage market for the Wealth-Building Policy Project. He has over ten years of experience working on household credit and debt, youth economics, voting rights, census advocacy, and social-demographic analysis. Prior to working at NCLR, Garcia was the associate director for the Economic Opportunity Program at Demos, where he authored dozens of reports on household debt and coauthored the book Up to Our Eyeballs: How Shady Lenders and Failed Economic Policies are Drowning Americans in Debt (2008). He has spoken on television and on the radio and has been quoted in national, local, and ethnic newspapers and journals, including the New York Times, Boston Globe, BusinessWeek, USA Today, Los Angeles Times, Fox Business News, Univision, and El Diario.

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