Local Alignment of Gradient Features for Face Sketch Recognition

被引：0
|
作者：
Alex, Ann Theja [1 ]
Asari, Vijayan K. [1 ]
Mathew, Alex [1 ]
机构：
[1] Univ Dayton, Dept Elect & Comp Engn, Comp Vis & Wide Area Surveillance Lab, Dayton, OH 45469 USA
来源：
ADVANCES IN VISUAL COMPUTING, ISVC 2012, PT II | 2012年 / 7432卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Automatic recognition of face sketches is a challenging problem. It has application in forensics. An artist drawn sketch based on the descriptions from the witnesses can be used as the test image to recognize a person from the photo database of suspects. In this paper, we propose a novel method for face sketch recognition. We use the edge features of a face sketch and face photo image to create a feature string called 'edge-string'. The edge-strings of the face photo and face sketch are then compared using the Smith-Waterman algorithm for local alignments. The results on CUHK (Chinese University of Hong Kong) student dataset show the effectiveness of the proposed approach in face sketch recognition.
引用
收藏
页码：378 / 387
页数：10
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