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
: The dataset provides metadata such as eye positions, face pose angles, and expression labels to help refine detection systems. Cas Peal
: Images are captured from multiple angles using a horizontal semicircular camera array to simulate different head rotations. The database was developed by the Joint Research
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. face pose angles