Patent ID: 8306282

Claim:
A hierarchical training method for face recognition, using a computer device to perform a face feature training of sub-image detectors at each level on a plurality of training samples, the method comprising: obtaining the training samples; performing a training measure by subdividing the training samples into a plurality of sub-image categories according to a plurality of angle intervals, and performing the face feature training on a corresponding sub-image detector of each of the sub-image categories; and performing the training measure for each of the sub-image categories, so as to generate sub-image categories at a lower level than a current level for said each sub-image categories, through which one of the plurality of angle intervals corresponding to said each sub-image category is subdivided into a plurality of angle intervals at the lower level, each angle interval at the lower level corresponding to one of the plurality of sub-image categories at the lower level, and repeating the training measure for each sub-image category at the rawer level until a subdivision condition is satisfied, wherein the sub-image categories of all levels form a tree structure.