An Improved Method for Virtual 3D Image Synthesis

Abstract

In traditional algorithms for virtual 3D image synthesis, the high complexity of virtual objects will cause serious image drift and reduce the fidelity of virtual 3D image synthesis. To solve the problem, this paper proposes a virtual 3D image synthesis method based on characteristics' dynamic optimization algorithm. According to edge data of virtual objects, the method calculates the dynamic change center to provide accurate data basis for virtual 3D image synthesis; extracts image characters of virtual images, establishes mesh model for image features, obtains the spatial location of the characteristic points to complete 3D image synthesis and improve the fidelity. Experimental results show that the algorithm is simple simulation method with strong practicality.