ABSTRACT
This paper presents a Gabor-based Gradient Orientation Pyramid (GGOP) feature representation method for kinship verification from facial images. First, we perform Gabor wavelet on each face image to obtain a set of Gabor magnitude (GM) feature images from different scales and orientations. Then, we extract the Gradient Orientation Pyramid (GOP) feature of each GM feature image and perform multiple feature fusion for kinship verification. When combined with the discriminative support vector machine (SVM) classifier, GGOP demonstrates the best performance in our experiments, in comparison with several state-of-the-art face feature descriptors. Experimental results are presented to show the efficacy of our proposed approach. Moreover, the performance of our proposed method is also comparable to that of human observers.
- T. Ahonen, A. Hadid, et al. Face Description with Local Binary Patterns: Application to Face Recognition. PAMI, 28(12):2037--2041, 2006. Google ScholarDigital Library
- A. Albiol, D. Monzo, A. Martin, J. Sastre, and A. Albiol. Face Recognition Using HOG-EBGM. Pattern Recognition Letters, 29(10):1537--1543, 2008. Google ScholarDigital Library
- Z. Cao, Q. Yin, X. Tang, and J. Sun. Face Recognition with Learning-based Descriptor. In CVPR, pages 2707--2714, 2010.Google ScholarCross Ref
- N. Dalal and B. Triggs. Histograms of Oriented Gradients for Human Detection. In CVPR, pages 886--893, 2005. Google ScholarDigital Library
- R. Fang, K. Tang, N. Snavely, and T. Chen. Towards Computational Models of Kinship Verification. In ICIP, pages 1577--1580, 2010.Google ScholarCross Ref
- H. Ling, S. Soatto, N. Ramanathan, and D. Jacobs. Face verification across age progression using discriminative methods. IEEE TIFS, 5(1):82--91, 2010. Google ScholarDigital Library
- J. Lu and Y.-P. Tan. Gait-Based Human Age Estimation. IEEE TIFS, 5(4):961--970, 2010. Google ScholarDigital Library
- M. Turk and A. Pentland. Eigenfaces for Recognition. Journal of Cognitive Neuroscience, 3(1):71--86, 1991. Google ScholarDigital Library
- S. Wang, S. Jiang, Q. Huang, and Q. Tian. Multiple kernel learning with high order kernels. In ICPR, pages 2138--2141, 2010. Google ScholarDigital Library
- S. Xia, M. Shao, and Y. Fu. Kinship verification through transfer learning. In IJCAI, pages 2539--2544, 2011. Google ScholarDigital Library
- X. Zhou, J. Hu, J. Lu, Y. Shang, and Y. Guan. Kinship verification from facial images under uncontrolled conditions. In ACM MM, pages 953--956, 2011. Google ScholarDigital Library
Index Terms
- Gabor-based gradient orientation pyramid for kinship verification under uncontrolled environments
Recommendations
Kinship verification from facial images under uncontrolled conditions
MM '11: Proceedings of the 19th ACM international conference on MultimediaIn 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 ...
Video-based kinship verification using distance metric learning
We investigate the problem of kinship verification from facial videos.We present a new video face dataset for the video-based kinship verification study.We develop a benchmark to evaluate state-of-the-art metric learning methods in video-based kinship ...
Kinship verification from facial images and videos: human versus machine
Automatic kinship verification from facial images is a relatively new and challenging research problem in computer vision. It consists in automatically determining whether two persons have a biological kin relation by examining their facial attributes. ...
Comments