International Journal of Computer Vision

, Volume 108, Issue 1, pp 49–58

An Interactive Approach to Solving Correspondence Problems


DOI: 10.1007/s11263-013-0657-5

Cite this article as:
Jegelka, S., Kapoor, A. & Horvitz, E. Int J Comput Vis (2014) 108: 49. doi:10.1007/s11263-013-0657-5


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.


Human interaction Active learning Value of information Matching Correspondence problems 

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.UC BerkeleyBerkeleyUSA
  2. 2.Microsoft Research RedmondRedmondUSA

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