Cas Peal -
The database was developed by the Joint Research & Development Laboratory (JDL) of the Chinese Academy of Sciences (CAS). Its primary purpose is to provide researchers with a robust dataset for training and testing algorithms against real-world visual challenges. Core "PEAL" Features
is a large-scale Chinese face database created to evaluate face recognition algorithms, specifically focusing on four key types of variations known as PEAL : P ose, E xpression, A ccessories, and L ighting . Cas Peal
: Includes various facial expressions such as neutral, smile, surprise, frown, and closed eyes. The database was developed by the Joint Research
The database systematically varies images across these categories: : Includes various facial expressions such as neutral,
: The dataset provides metadata such as eye positions, face pose angles, and expression labels to help refine detection systems.
Researchers use this data to benchmark various algorithms, including Principal Component Analysis (PCA) and Local Binary Patterns (LBP) , ensuring they can handle the diverse conditions found in practical applications.
Enhanced Local Texture Feature Sets for Face Recognition ... - HAL