图像生成方法、系统、电子设备和计算机可读存储介质

By acquiring images of the target child and their parents and using genetic principles to generate a predicted image of the child as an adult, this technology solves the problem of the difficulty in finding lost or abducted children in existing technologies and improves the success rate.

CN115131857BActive Publication Date: 2026-07-17HEFEI DILUSENSE TECH CORP

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HEFEI DILUSENSE TECH CORP
Filing Date
2022-06-27
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Finding lost or abducted children is a difficult process, as current technology cannot effectively use childhood photos to predict what a child will look like as an adult, making the search extremely difficult.

Method used

Based on the principles of genetics, by acquiring images of the target child and parents at different ages, the growth characteristics of the parents are determined, and the growth characteristics are used to generate a predicted image of the child when he/she grows up. Taking into account the influence of genetics and the environment, a predicted image that conforms to the actual situation is generated.

Benefits of technology

It significantly improves the success rate of finding lost or abducted children, and the generated predictive images are more consistent with genetics and actual conditions, reducing the difficulty of the search.

✦ Generated by Eureka AI based on patent content.

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Abstract

本申请的实施例涉及图像处理技术领域,公开了一种图像生成方法、系统、电子设备和计算机可读存储介质,该方法包括:获取目标儿童在第一年龄时的第一图像、目标儿童的父母在第一年龄时的第二图像、以及目标儿童的父母在第二年龄时的第三图像,第二年龄大于第一年龄,第二年龄与第一年龄之间的差值为目标儿童的丢失年数;根据第二图像和第三图像,确定目标儿童的父母的成长特征,成长特征包括脸型成长特征和关键点成长特征,关键点至少用于表征五官;根据第一图像和目标儿童的父母的成长特征,生成目标儿童在第二年龄时的预测图像,从而尽可能地生成符合遗传学、符合实际情况的儿童长大后的图像,大大提升了父母找回走失、被拐卖儿童的成功率。
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