Abstract: Pose is one of the most important elements that affect the facial image.Pose is also an important parameter in the algorithm of face analysis.The pose parameters estimate algorithm based on Adaboost and face feature triangle is introduced in the thesis.Firstly,we use adaboost algorithm to train facial feature detector,then get feature points according to facial geometric structure.After that,we can use feature points to construct facial feature triangle.When facial pose varies,the parameters could be estimated according to the position of facial feature triangle.