Research on the Technology of Dynamic Information Fusion Processing of 3D Animation Images

Abstract

In order to improve the recognition and detection ability of movie and TV 3D animation images, a method of movie and TV 3D animation image information fusion and feature extraction based on dynamic information fusion and edge contour feature detection is proposed. Establishing a visual information acquisition model of a movie and television three-dimensional animation image, performing corner detection and feature point extraction of the movie and television three-dimensional animation image by adopting a key feature point matching method, extracting dynamic information feature quantity of the edge of the movie and television three-dimensional animation image, combining saliency detection, feature fusion and optimal segmentation of the movie and television three-dimensional animation image, establishing a super-resolution reconstruction feature distribution set of the movie and television three-dimensional animation image. The edge information space region fusion method is used to fuse pixel information and optimize feature reorganization of movie and television three-dimensional animation images. The fuzzy feature distribution set of movie and television three-dimensional animation images is extracted. The information fusion and feature extraction of movie and television three-dimensional animation images are realized by combining wavelet multi-layer decomposition algorithm. The simulation results show that the feature resolution capability of using this method for information fusion and feature extraction of movie and TV 3D animation images is higher, and the output peak signal-to-noise ratio of movie and TV 3D animation image reconstruction is improved.