Paper Info
Title
Face photo retrieval by sketch example
Abstract
Face photo-sketch matching has received great attention in recent years due to its vital role in law enforcement. The major challenge of matching face photo and sketch is difference of visual characteristics between face photo and sketch which is referred as modality gap. Earlier approaches have reduced the modality gap by synthesizing face photos and sketches in a same modality (photo or sketch). However, the effectiveness of these approaches is highly affected by synthesis results. That means a poor synthesis might degrade the performance of matching. Therefore, recent works have focused to directly match face photo and sketch of different modalities. However, the features used by these approaches are not robust against modality gap. In this paper, a modality-invariant face descriptor called Gabor Shape is proposed to retrieve face photos based on a probe sketch. Experiments on CUFS and CUFSF datasets show that the new descriptor outperforms the state-of-the-art approaches.
Year
DOI
Venue
2012
10.1145/2393347.2396354
ACM Multimedia 2001
Keywords
Field
DocType
face photo retrieval,poor synthesis,modality gap,new descriptor,photo-sketch matching,modality-invariant face descriptor,recent work,synthesizing face photo,sketch example,different modality,face photo,probe sketch,radon transform
Modalities,Computer vision,Computer science,Artificial intelligence,Radon transform,Multimedia,Sketch
Conference
Citations 
PageRank 
References 
9
0.48
16
Authors
2
Name
Order
Citations
PageRank
Hamed Kiani Galoogahi11366.68
Terence Sim22562169.42