Guest Editorial: Big Data
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11263_2016_914_ReferencePDF.pdf
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183.56 KB
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Author(s)
Efros, Alyosha
Torralba, Antonio
Date Issued
June 2016
Journal
International Journal of Computer Vision
Publisher
Springer US
Citation
Efros, Alyosha, and Antonio Torralba. “Guest Editorial: Big Data.” Int J Comput Vis 119, no. 1 (June 14, 2016): 1–2.
Version
Author's final manuscript
Abstract
Computer vision has a split personality. Within the same field, and largely guided by the same set of fundamental algorithms, it combines two problems that are utterly disparate in their aims and philosophy—here we will call them “Vision as Measurement” and “Vision as Understanding”. Measurement problems deal with obtaining objective, quantifiable information about the physical world (e.g. scene depth in meters, visual angle in radians, light-source brightness in candelas-per-meter-squared, etc.). Measurement problems are akin to physics—they are well-posed and the validity of a solution can always be tested with an experiment. Employing careful physical or geometric modeling and rigorous mathematics, this area has been quite successful in solving a number of important problems, such as stereo and structure-from-motion.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1007/s11263-016-0914-5
