Please use this identifier to cite or link to this item:
https://doi.org/10.1109/ICIP.2013.6738500
Title: | Face-graph matching for classifying groups of people | Authors: | Shu H. Gallagher A. Chen H. Chen T. |
Issue Date: | 2013 | Citation: | Shu H., Gallagher A., Chen H., Chen T. (2013). Face-graph matching for classifying groups of people. 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings : 2425-2429. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIP.2013.6738500 | Abstract: | When people gather for a group photo, they are together for a social reason. Past work has shown that these social relationships affect how people position themselves in a group photograph. We propose classifying the type of group photo based on the spatial arrangement and the predicted attributes of the faces in the image. We propose a matching algorithm for finding images from a training set that have both similar arrangement of faces and attribute correspondence. We formulate the problem as a bipartite matching problem where the faces from each of the pair of images are nodes in the graph. Our work demonstrates that face arrangement, when combined with attribute (age and gender) correspondence, is a useful cue in capturing an approximate social essence of the group of people, and lets us understand why the group of people gathered for the photo. | Source Title: | 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings | URI: | http://scholarbank.nus.edu.sg/handle/10635/146095 | ISBN: | 9781479923410 | DOI: | 10.1109/ICIP.2013.6738500 |
Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.