A novel method of recovering camera parameter from dynamic texture video

Dynamic texture is a part of the natural scene. Video augmentation is research hotspot in the field of computer vision and even robot research area. Robust camera tracking plays a key role in augmented video. It is an important issue in dynamic texture video augmentation. We propose an efficient and robust approach to structure and motion recovery for dynamic texture video augmentation. First we present an efficient level set method to segment dynamic texture from video. Based on this, a new method of recovering camera parameter is put forward. Experiments show that the proposed method is very efficient in recovering camera parameter in the dynamic texture video and can overcome more error of traditional method.