Abstract | ||
---|---|---|
In this paper, we present an automatic kinship verification system based on facial image analysis under uncontrolled conditions. While a large number of studies on human face analysis have been performed in the literature, there are a few attempts on automatic face analysis for kinship verification, possibly due to lacking of such publicly available databases and great challenges of this problem. To this end, we collect a kinship face database by searching 400+ pairs of public figures and celebrities from the internet, and automatically detect them with the Viola-Jones face detector. Then, we propose a new spatial pyramid learning-based (SPLE) feature descriptor for face representation and apply support vector machine (SVM) for kinship verification. The proposed system has the following three characteristics: 1) no manual human annotation of face landmarks is required and the kinship information is automatically obtained from the original pair of images; 2) both local appearance information and global spatial information have been effectively utilized in the proposed SPLE feature descriptor, and better performance can be obtained than state-of-the-art feature descriptors in our application; 3) the performance of our proposed system is comparable to that of human observers. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1145/2072298.2071911 | ACM Multimedia 2001 |
Keywords | Field | DocType |
kinship information,human face analysis,face landmark,viola-jones face detector,automatic face analysis,uncontrolled condition,facial image,automatic kinship verification system,face representation,proposed system,kinship face database,kinship verification,image descriptors,support vector machine,image analysis,spatial information | Spatial analysis,Computer vision,Annotation,Computer science,Kinship,Support vector machine,Pyramid,Artificial intelligence,Verification system,Face analysis,The Internet | Conference |
Citations | PageRank | References |
24 | 0.83 | 10 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiuzhuang Zhou | 1 | 380 | 20.26 |
Junlin Hu | 2 | 275 | 11.07 |
Jiwen Lu | 3 | 3105 | 153.88 |
Yuanyuan Shang | 4 | 210 | 16.83 |
Yong Guan | 5 | 787 | 82.67 |