一种面部情绪相似度比对方法、系统、设备及存储介质

By using 3D face image processing and Hausdorff distance calculation, the problem of insufficient accuracy in facial emotion similarity assessment in existing technologies is solved. It avoids the influence of lighting, skin color, age and accessories, and accurately assesses facial emotion similarity.

CN118097756BActive Publication Date: 2026-07-17BEIJING SITU CHANGJING DATA TECH SERVICE CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING SITU CHANGJING DATA TECH SERVICE CO LTD
Filing Date
2024-03-14
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing methods for assessing facial emotion similarity are based on two-dimensional images, which leads to insufficient accuracy due to differences in lighting, skin color, age, and facial accessories.

Method used

Facial emotion similarity comparison is performed using 3D face images. By acquiring two 3D face images, facial region coordinates are detected and scaled, key points are marked, key point facial templates are created, and 3D facial mesh calculation is performed by nesting the images. Facial emotion similarity is calculated using Hausdorff distance.

Benefits of technology

It effectively avoids the influence of differences in lighting, skin color, age, and facial accessories, and accurately assesses the emotional similarity between two 3D facial images.

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Abstract

本发明属于图像处理技术领域,具体公开了一种面部情绪相似度比对方法、系统、设备及存储介质,方法包括获取两张待比对的三维人脸图像进行图像缩放处理和关键点位标定,然后分别嵌套至关键点面部模版,得到两张待比对的面部评估图像,再对两张面部评估图像进行三维面部网格计算,确定两个顶点集,最后基于两个顶点集进行Hausdorff距离计算,确定两张待比对三维人脸图像的面部情绪相似度,就可以高效且智能地对比评估出两张待比对人脸图像的情绪相似度。本发明可以有效规避光照差异、肤色差异、年龄差异、面部饰品等对图像相似度对比的影响,准确评估出待比对人脸图像的情绪相似度。
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