Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition.

Face recognition is challenging especially when the images from different persons are similar to each other due to variations in illumination, expression, and occlusion. If we have sufficient training images of each person which can span the facial variations of that person under testing conditions, sparse representation based classification (SRC) achieves very promising results. However, in many applications, face recognition often encounters the small sample size problem arising from the small number of available training images for each person.

[The application of multi-slice CT and MRI on maxillofacial region soft tissue measurement].

Purpose: To evaluate the value of multi-slice CT and MRI on maxillofacial region soft tissue measurement.

Methods: A total of 12 cases of dentofacial orthodontic underwent X-ray photograph, multi-slice CT and MRI scanning. The angle and distance of maxillofacial region soft tissue were measured respectively.