Local Quantized Pattern
This is an implementation for Local Quantized Pattern feature which is very popular on the research of face recognition and object recognition.
What is LQP
LQP is a generalization of local pattern features(LBP) that makes use of vector quantization and lookup table to let local pattern features have many more pixels and/or quantization levels without sacrificing simplicity and computational efficiency. More information about LQP, please refer to
The project is based on the Opencv library when dealing with the pixels.
Step 1: Generate Codebook of LQP based on the training data
bin/extractLQP jpglist codebookFile ClucenterFile -g
Step 2: Cluster
bin/KMeans codebookFile midResult ClucenterFile
step 3: Extract LQP Feature，LQP_feature is the output file.
bin/extractLQP JpgList LQP_feature ClucenterFile -e
Any bugs, feel free to contact me, or you have some ideas about improving the result. I am very grateful you have any recommendations.