Automatic synthesis method for facial image

Abstract

The invention provides an automatic synthesis method for a facial image. A user inputs two facial source images, a target image and semantic information of an area to be edited; a model matching module utilizes an active appearance model to automatically search an image and provide facial shape information and facial texture information of the facial image; then, the shapes of the two facial images are aligned by using the characteristics of the model, and the shapes of the source images in the edited area are aligned to a corresponding area in the target image by virtue of the deformation of a sheet sample band; a characteristic synthesis module is used for characteristic synthesis for the shape information and the texture information of the aligned source images and the target image, so as to generate a synthetic image automatically; an occlusion processing module is used for occlusion processing the synthetic image, and the occlusion areas of the source images are divided, matched and seamlessly integrated into the target image. Compared with the traditional facial synthesis, the invention integrates the characteristic areas of the two images and solves the problem of image distortion caused by partial face occlusion in the target image.

Description

technical field [0001] The invention relates to the technical field of computer graphics and images, and proposes an efficient and convenient method for automatically synthesizing human face images. Background technique [0002] In the field of computer graphics and images, image synthesis is a very important technology in image editing. The technology has been widely used in the entertainment industry and movies. Image synthesis is mainly divided into two categories: the first is to extract objects or areas in the source image and synthesize them into the target image; the other is to extract different image areas from one or more images and stitch these areas into one. a new image. The following is a brief introduction of related work. [0003] Image Matting: Matting is one of the most commonly used image synthesis techniques. The so-called matting is to extract the object or area in the image, and calculate the transparency value of the object or area, and then synthe...

AI Technical Summary

Problems solved by technology

Today, with the rapid development of digital entertainment, the existing systems and methods have been difficult to meet the growing needs of users for image editing and synthesis

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