Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Real-Time Face Detection
International Journal of Computer Vision
Multiresolution Histograms and Their Use for Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Journal of Cognitive Neuroscience
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
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In this paper we address the challenge problem of linking names and faces from online news. Developing accurate technologies for linking names and faces is valuable when retrieving or mining information from images collections. Here, we propose a novel method called Person-based Subset Clustering. It divides into four steps. Firstly, we detect names in the captions. Secondly, for the target name, we retrieval all images with the same name. Thirdly, each image is normalized by calibrating two facial feature points. And then we extract the Local Gabor Binary Pattern Histogram Sequence as the local visual features to represent each face image, and pair-wise distances are calculated. Finally, several clustering methods are applied to clustering the faces. Experiments show the effectiveness of our method, which is based on a data set consisting of approximately 690 news pictures and captions from Yahoo News.