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作 者:尹令[1,2] 王宇啸 林俊勇 蔡更元 YIN Ling;WANG Yuxiao;LIN Junyong;CAI Gengyuan(South China Agricultural University College of Mathematics and Informatics/College of Animal Science/National Engineering Research Center for Swine Breeding Industry,Guangzhou Guangdong 510642;State Key Laboratory of Swine and Poultry Breeding Industry,Guangzhou Guangdong 510640)
机构地区:[1]华南农业大学数学与信息学院/动物科学学院/国家生猪种业工程技术研究中心,广东广州510642 [2]猪禽种业全国重点实验室,广东广州510640
出 处:《广东畜牧兽医科技》2023年第6期1-6,45,共7页Guangdong Journal of Animal and Veterinary Science
基 金:国家自然科学基金面上基金:猪表型体尺无接触测量中三维点云处理关键技术研究(32172780)。
摘 要:生长性能测定是种猪育种工作的重要环节,评价猪生长性能的指标包含括体尺性状和体重等。实际生产中,需要在种猪育成期特定体重和日期进行大量测定工作。体尺测定目前主要依赖于人工,费时费力,测定效率低且主观误差较大等,制约着表型性状在育种和生产管理中的辅助作用。计算机视觉技术成为牲畜表型体尺性状自动测定发展最迅速的研究领域。该文针对三维视觉技术在猪体尺测量中发展状况和测量定位误差进行阐述,提出猪体三维点云分割的技术以及在各部分点云分割基础上的体尺测量技术,以进一步提升体尺自动的精准度。Growth performance measurement is an important part of pig breeding work,and the indicators for evaluating pig growth performance include body size and body weight.A large amount of regular body size measurement and specific nurturing period body weight measurement are carried out in actual breeding process.At present,body size measurement mainly relies on manual measurement,which is time-consuming and laborious,low efficiency and with many subjective errors.And manual measurement restricts the auxiliary role of phenotypic traits in breeding and production management.Computer vision technology has become the fastest developing research field in assisting automatic determination of phenotypic and body size traits in livestock.Considering the development status and measurement positioning errors of 3D vision technology in pig body measurement,this paper proposes the 3D point cloud segmentation technology for pig body size measurement,that achieving precise positioning and improving the accuracy of automatic body measurement by dividing the pig body point cloud into different parts.
关 键 词:猪体尺自动测量 三维点云分割 PointNet++ 八叉树采样
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