A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf
.
Good recognition is non-metric
2014
Pattern Recognition
Recognition is the fundamental task of visual cognition, yet how to formalize the general recognition problem for computer vision remains an open issue. The problem is sometimes reduced to the simplest case of recognizing matching pairs, often structured to allow for metric constraints. However, visual recognition is broader than just pair-matching: what we learn and how we learn it has important implications for e↵ective algorithms. In this review article, we reconsider the assumption of
doi:10.1016/j.patcog.2014.02.018
fatcat:ynrs6motbjdipmrm5bzu2u6xuu