...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE/ACM transactions on computational biology and bioinformatics >Active Vision and Surface Reconstruction for 3D Plant Shoot Modelling
【24h】

Active Vision and Surface Reconstruction for 3D Plant Shoot Modelling

机译：3D植物拍摄建模的主动视觉和表面重建

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Plant phenotyping is the quantitative description of a plant's physiological, biochemical, and anatomical status which can be used in trait selection and helps to provide mechanisms to link underlying genetics with yield. Here, an active vision- based pipeline is presented which aims to contribute to reducing the bottleneck associated with phenotyping of architectural traits. The pipeline provides a fully automated response to photometric data acquisition and the recovery of three-dimensional (3D) models of plants without the dependency of botanical expertise, whilst ensuring a non-intrusive and non-destructive approach. Access to complete and accurate 3D models of plants supports computation of a wide variety of structural measurements. An Active Vision Cell (AVC) consisting of a camera-mounted robot arm plus combined software interface and a novel surface reconstruction algorithm is proposed. This pipeline provides a robust, flexible, and accurate method for automating the 3D reconstruction of plants. The reconstruction algorithm can reduce noise and provides a promising and extendable framework for high throughput phenotyping, improving current state-of-the-art methods. Furthermore, the pipeline can be applied to any plant species or form due to the application of an active vision framework combined with the automatic selection of key parameters for surface reconstruction.
机译：植物表型是植物的生理生理学，生物化学和解剖状态的定量描述，其可用于特质选择，并有助于提供以产量将遗传学链接的机制。这里，提出了一种基于视觉的基于视觉的管道，其目的是有助于减少与建筑特征的表型相关的瓶颈。管道提供全自动响应光度数据采集和植物的三维（3D）模型的恢复，而无需植物专业知识，同时确保非侵入性和非破坏性的方法。访问完整和准确的植物型号支持计算各种结构测量。提出了一种由摄像机安装机器人臂加上组合软件接口和新型表面重建算法组成的有源视觉电池（AVC）。该管道提供了一种稳健，灵活，精确的方法，用于自动化植物的3D重建。重建算法可以降低噪声，为高吞吐量表型提供有前途和可扩展的框架，提高了最新的方法。此外，由于应用主动视觉框架的应用与用于表面重建的关键参数的自动选择，可以将管道应用于任何植物物种或形式。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号