中国农业大学学报2025，Vol.30Issue(3)：49-59,11.DOI:10.11841/j.issn.1007-4333.2025.03.05
基于图像匹配的宽基线牛只面部图像识别研究
Facial recognition of cattle based on wide-baseline image-matching
摘要
Abstract
To enhance the adaptability of the recognition model to non-standardized data,this study designed a Wide-Baseline cattle facial recognition method based on image matching,using SuperPoint and SuperGlue to construct the image matching algorithm,and made targeted improvements to improve the recognition accuracy.In the process of feature point extraction,a dynamic threshold adjustment strategy based on image quality assessment was introduced to quantitatively assess the clarity,edge density and texture characteristics of the image,and adjust the threshold value of SuperPoint accordingly to realize high-quality feature point extraction.Meanwhile,the matching threshold of SuperGlue was adjusted by evaluating the distribution entropy and spatial coverage of feature points to achieve efficient matching.In order to verify the effectiveness of the method,a comparison test was conducted with multiple image matching methods on the self-constructed cow face dataset.The results showed that:1)The macro average precision,macro average recall and macro average F1 of the algorithm on the Narrow-Baseline dataset were 92.1％,90.4％and 91.2％,respectively.2)The macro average precision,macro average recall and macro average F1 of the algorithm on the Wide-Baseline dataset were 82.8％,81.0％and 81.9％.3)The micro F1 score of the algorithm on the public dataset was 86.4％,and all the results were significantly better than the traditional image matching algorithm.In summary,this study aims to propose a new image matching algorithm,which effectively improves the adaptability of the cattle facial recognition model to non-standardized data,and provides technical references for the practical application of cattle facial recognition methods.关键词
牛个体识别/特征匹配/动态阈值调整/面部识别Key words
cattle individual identification/feature matching algorithms/dynamic threshold adjustment/facial recognition分类
畜牧业引用本文复制引用
翁智,刘永兴,刘科,郑志强..基于图像匹配的宽基线牛只面部图像识别研究[J].中国农业大学学报,2025,30(3):49-59,11.基金项目
国家自然科学基金项目(61966026) （61966026）
内蒙古自治区高等学校青年科技英才支持计划(NJYT23063) （NJYT23063）
