LFW DATA Labeled Faces in the Wild (LFW) is a widely used benchmark for face verification. It contains 13233 images of 5749 different people. You can find more information on the data set at http://vis-www.cs.umass.edu/lfw/.
Download the dataset.
cd ./src
python3 face_image_retrieval.py [LFW pickle data] [LFW attribute txt]
Python3 numpy joblib scipy pandas matplotlib spams
Compute L2 distance of local binary pattern (LBP) and rank.
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Compute Cosine similarity of Spare coding with identity information and rank.
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- mAP of vanilla sparse coding
- mAP of sparse coding with identity information
[1] Scalable Face Image Retrieval using Attribute-Enhanced Sparse Codewords, Chen et al., IEEE Trans. Multimedia 2013
[2] Semi-supervised face image retrieval using sparse coding with identity constraint, Chen et al., ACM MM 2011
[3] SPArse Modeling Software