Portrait caricature generating method

Abstract

The invention provides a portrait caricature generating method, which comprises the steps of S1, performing face detection and feature point localization on an input image; S2, preprocessing the inputimage according to a face detection and feature point localization result so as to be aligned to a reference face image, and obtaining a feature point set of an input face aligned to the reference face image; S3, comparing with reference face features, and calculating personal features of the input face; S4, exaggerating the personal features under a deformation constraint criterion to obtain a portrait caricature feature point set of the input face; and S5, establishing triangular coordinate systems respectively based on the face feature point set of the input face after being aligned to thereference face image and the portrait caricature feature point set, realizing image deformation between the two corresponding triangular coordinate systems, and generating a portrait caricature. Theportrait caricature generating method is based on the triangular coordinate systems, does not need training samples, can generate a portrait caricature quickly by only requiring a reference face image, and can be applied to a quasi-real-time system.

Description

technical field [0001] The invention belongs to the technical field of face image processing, in particular to a method for generating portrait caricatures. Background technique [0002] Portraiture remains a very popular form of artistic expression in modern times. With the continuous development of machine vision-related technologies, portrait drawing is widely used in multimedia, personalized entertainment, and the Internet, such as virtual reality, augmented reality, and robot portrait drawing systems. In order to enhance the artistic expression of portraits, various types of artistic portraits have been produced based on different artistic characteristics, such as sketches, cartoons, and comics. As a common art form, comics have attracted the attention and research of many scholars. [0003] The document "Example-based caricature generation with exaggeration" establishes a shape exaggeration model by training face images and hand-painted caricature image pairs, and jud...

AI Technical Summary

Problems solved by technology

[0004] It can be seen that there are problems in the existing portrait caricature processing methods such as dependence on training samples and high algorithm complexity caused by a large number of calculations. When generating caricature portraits required by users, the method or system needs to rely on a large number of pre-established caricature p

Images