Title
Efficient graph based spatial face context representation and matching
Abstract
In this paper, we propose a novel orientation-aware Urquhart graph based spatial face context representation method to efficiently describe the spatial relationship among faces in group photos. We combine graph matching with orientations of graph edges to assess the similarity of spatial face contexts from different group photos. The experimental results show that our method can find more structurally similar group photos compared to the state-of-the-art spatial face context representation methods.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6638004
ICASSP
Keywords
Field
DocType
image representation,image matching,face recognition,social event analysis,spatial face context representation,orientation-aware urquhart graph,spatial face context matching,spatial relationship,spatial face context,graph matching,pattern recognition,context modeling,face
Facial recognition system,Graph,Computer vision,Pattern recognition,Computer science,Image matching,Spatial relationship,Image representation,Matching (graph theory),Artificial intelligence
Conference
ISSN
Citations 
PageRank 
1520-6149
3
0.39
References 
Authors
11
5
Name
Order
Citations
PageRank
Yi-I. Chiu1443.84
Congcong Li224016.48
Chun-Rong Huang329522.44
Pau-Choo Chung496186.13
Tsuhan Chen54763346.32