Different from the traditional exposure algorithm that uses global brightness plus a fixed weighted brightness mean, the intelligent exposure algorithm adopts the assumption based on the largest amount of information to prioritize the exposure of the area of interest, and ultimately solves the problems of too dark faces in backlight and overexposure of faces in front light, greatly improving Accuracy of face recognition.
EEWorld senior netizen, IC crawler with 6 years of experience in image algorithm development, will give you an in-depth explanation of the application of new intelligent exposure algorithms in face recognition .
You Might Like
Recommended Posts
Circuit
可能感兴趣器件