@article{jegelka2013an,
author = {Jegelka, Stefanie and Kapoor, Ashish and Horvitz, Eric},
title = {An Interactive Approach to Solving Correspondence Problems},
year = {2013},
month = {September},
abstract = {Finding correspondences among objects in different
images is a critical problem in computer vision. Even
good correspondence procedures can fail, however, when
faced with deformations, occlusions, and differences in lighting
and zoom levels across images. We present a methodology
for augmenting correspondence matching algorithms
with a means for triaging the focus of attention and effort
in assisting the automated matching. For guiding the mix of
human and automated initiatives, we introduce a measure of
the expected value of resolving correspondence uncertainties.
We explore the value of the approach with experiments
on benchmark data.},
publisher = {Springer},
url = {http://approjects.co.za/?big=en-us/research/publication/interactive-approach-solving-correspondence-problems/},
pages = {49-58},
journal = {International Journal of Computer Vision},
volume = {108},
number = {1},
}