Face image classification by pooling raw features

@article{Shen2016FaceIC,
  title={Face image classification by pooling raw features},
  author={F. Shen and Chunhua Shen and X. Zhou and Yang Yang and H. Shen},
  journal={Pattern Recognit.},
  year={2016},
  volume={54},
  pages={94-103}
}
  • F. Shen, Chunhua Shen, +2 authors H. Shen
  • Published 2016
  • Computer Science
  • Pattern Recognit.
  • We propose a very simple, efficient yet surprisingly effective feature extraction method for face recognition (about 20 lines of Matlab codes), which is mainly inspired by spatial pyramid pooling in generic image classification. We show that, coupled with a linear classifier, features formed by simply pooling local patches over a multi-level pyramid can achieve state-of-the-art performance on face recognition. The simplicity of our feature extraction procedure is demonstrated by the fact that… CONTINUE READING
    39 Citations
    PCAPooL: unsupervised feature learning for face recognition using PCA, LBP, and pyramid pooling
    • 2
    • Highly Influenced
    Face Feature Extraction: A Complete Review
    • 17
    Expressing Facial Structure and Appearance Information in Frequency Domain for Face Recognition
    • 1
    • PDF
    Learning robust and discriminative low-rank representations for face recognition with occlusion
    • 52
    Pixel Clustering for Face Recognition
    • 6
    • PDF
    Patch-based Face Recognition using a Hierarchical Multi-label Matcher
    • 5
    • PDF

    References

    SHOWING 1-10 OF 80 REFERENCES
    Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition
    • 312
    • PDF
    A Comparative Study of Local Matching Approach for Face Recognition
    • 336
    • PDF
    Robust Face Recognition via Sparse Representation
    • 8,556
    • Highly Influential
    • PDF
    Locality constrained representation based classification with spatial pyramid patches
    • 17
    • PDF
    Learning mid-level features for recognition
    • 1,040
    • PDF
    Multi-scale Patch Based Collaborative Representation for Face Recognition with Margin Distribution Optimization
    • 168
    • Highly Influential
    • PDF
    Face Recognition Using Kernel Ridge Regression
    • S. An, W. Liu, S. Venkatesh
    • Mathematics, Computer Science
    • 2007 IEEE Conference on Computer Vision and Pattern Recognition
    • 2007
    • 170
    • PDF
    Similarity Scores Based on Background Samples
    • 289
    • PDF
    Face recognition using Laplacianfaces
    • 3,073
    • PDF
    Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
    • 11,622
    • Highly Influential
    • PDF