An on-line learning method for face association in personal photo collection

作者：Lo Presti Liliana^*; La Cascia Marco

来源：Image and Vision Computing, 2012, 30(4-5): 306-316.

DOI：10.1016/j.imavis.2012.02.011

• Face descriptor
• Data association
• On-line learning
• Semi-supervised learning
• Digital libraries

Due to the widespread use of cameras, it is very common to collect thousands of personal photos. A proper organization is needed to make the collection usable and to enable an easy photo retrieval. In this paper, we present a method to organize personal photo collections based on %26quot;who%26quot; is in the picture. Our method consists in detecting the faces in the photo sequence and arranging them in groups corresponding to the probable identities. This problem can be conveniently modeled as a multi-target visual tracking where a set of on-line trained classifiers is used to represent the identity models. In contrast to other works where clustering methods are used, our method relies on a probabilistic framework; it does not require any prior information about the number of different identities in the photo album. To enable future comparison, we present experimental results on a public dataset and on a photo collection generated from a public face dataset.

• 出版日期2012-5