US 9,811,760 B2
Online per-feature descriptor customization
Andrew Richardson, Ann Arbor, MI (US); and Edwin Olson, Ann Arbor, MI (US)
Assigned to FORD GLOBAL TECHNOLOGIES, LLC, Dearborn, MI (US); and THE REGENTS OF THE UNIVERSITY OF MICHIGAN, Ann Arbor, MI (US)
Filed by Ford Global Technologies, LLC, Dearborn, MI (US); and The Regents of the University of Michigan, Ann Arbor, MI (US)
Filed on Jul. 31, 2015, as Appl. No. 14/814,630.
Prior Publication US 2017/0032217 A1, Feb. 2, 2017
Int. Cl. G06K 9/46 (2006.01); G06K 9/62 (2006.01); G06K 9/48 (2006.01); G06K 9/78 (2006.01)
CPC G06K 9/6202 (2013.01) [G06K 9/4671 (2013.01); G06K 9/481 (2013.01); G06K 9/6262 (2013.01); G06K 9/78 (2013.01)] 16 Claims
OG exemplary drawing
 
1. An image processing system comprising:
a processor having a memory storing computer-executable instructions, wherein the processor is programmed to:
define a first descriptor in a first image;
generate a mask from the first image;
define a second descriptor in a second image, wherein the first descriptor includes a plurality of first test points and wherein the second descriptor includes a plurality of second test points;
compare the first descriptor to the second descriptor to define a first error vector;
determine a second error vector by applying the mask, wherein the mask reduces the plurality of first test points to a subset of the plurality of first test points based at least in part on a robustness to viewpoint change of each of the plurality of first test points; and
determine an error between the first descriptor and the second descriptor using the second error vector.