An Interactive Approach to Solving Correspondence Problems

作者：Jegelka Stefanie^*; Kapoor Ashish; Horvitz Eric

来源：International Journal of Computer Vision, 2014, 108(1-2): 49-58.

DOI：10.1007/s11263-013-0657-5

• Human interaction
• Active learning
• Value of information
• Matching
• Correspondence problems

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.

• 出版日期2014-5
• 单位Microsoft