Hybrid feature fusion for person recognition in photo albums

Sheng Li; Likun Huang; Wei Zhang; Bing Tang

doi:10.1117/12.2538184

14 February 2020 Hybrid feature fusion for person recognition in photo albums

Sheng Li, Likun Huang, Wei Zhang, Bing Tang

Proceedings Volume 11430, MIPPR 2019: Pattern Recognition and Computer Vision; 114300R (2020) https://doi.org/10.1117/12.2538184
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

The current work on person recognition in photo albums mainly utilize pure deep convolutional features to describe a person’s image. However, we observe that the hand-crafted features are usually able to provide complementary information and are more stable for identity recognition under some challenging circumstances. In view of this, we propose a novel hybrid method for person recognition in photo albums. In the proposed method, both the hand-crafted features and deep convolutional features are extracted from every person’s image. These multi-modality features are then fused by a weighted average method and classified by a pre-trained SVM in the recognition procedure. The experimental results demonstrates the effectiveness of the proposed method.

Citation Download Citation

Sheng Li, Likun Huang, Wei Zhang, and Bing Tang "Hybrid feature fusion for person recognition in photo albums", Proc. SPIE 11430, MIPPR 2019: Pattern Recognition and Computer Vision, 114300R (14 February 2020); https://doi.org/10.1117/12.2538184

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