ITR: An Electronic Field Guide: Plant Exploration and Discovery in the 21st Century
ITR: An Electronic Field Guide: Plant Exploration and Discovery in the 21st Century
批准号:
0325867
负责人:
Peter Belhumeur
金额:
$222.4万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-09-01 至 2010-08-31
中文摘要
这个项目正在开发第一代电子野外指南:使野外分类学家能够获得关于植物物种的关键比较信息的计算设备。目前,当该领域的植物学家收集标本并想要验证新物种的存在时,他们必须从博物馆和植物标本馆借来实物样本,例如史密森尼类型标本收集。这个过程非常耗时且效率低下。电子磁场指南将加速和自动化这一过程。该系统的核心将是模式标本的数字收集。这将包括95,000个植物类型标本的数字图像,这些标本是用于识别新物种的权威参考标本。这些核心数据将与其他标本和活植物的照片联系起来。研究人员还将开发用于视觉植物识别的算法。这将是在数字收藏中搜索图像的核心,与传统的文本搜索相结合。最后,该项目将致力于创建一套具有新颖用户界面的移动和可穿戴原型,以便该领域的植物学家可以拍摄植物并通过这些照片和文本访问系统。一个完整的系统将使现场植物学家能够掌握目前只存放在远离标本发现地的特殊收藏中的信息。它还将提供基于内容的检索,远远超出当前导航这些知识的方法。这些新技术将大大加速发现和鉴定世界上尚未被描述的植物。
英文摘要
This project is developing the first generation of electronic field guides: computing devices that allow a taxonomist in the field access to critical comparative information on plant species. Currently, when botanists in the field collect specimens and want to verify the existence of a new species, they must borrow physical samples from museums and herbaria, such as the Smithsonian type specimen collection. This process is extremely time-consuming and inefficient. The electronic field guide will speed and automate this process. At the core of the system will be a type specimen digital collection. This will include digital images of 95,000 botanical type specimens, the definitive reference specimens used to identify new species. This core data will be linked to photos both of additional specimens and of live plants. The investigators will also develop algorithms for visual plant recognition. These will be central to searching images in the digital collection, in conjunction with conventional text search. Finally, this project will work toward the creation of a set of mobile and wearable prototypes with novel user interfaces so that botanists in the field can photograph plants and access the system with these photos and text. A completed system will allow field botanists to have at their fingertips information that is currently housed only in special collections far from where the specimens are discovered. It will also provide content-based retrieval that goes well beyond current methods for navigating this knowledge. These new technologies will greatly accelerate the discovery and identification of the remaining undescribed plants of the world.
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RI: Small: Collaborative Research: Visual Attributes for Identification and Search in Images
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批准号:1117170
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项目类别:Standard Grant
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资助金额:$24.93万
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财政年份:2011
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负责人:Peter Belhumeur
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依托单位:
Complex Reflectance, Texture and Shape: Methods and Representations for Object Modeling
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批准号:0308185
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项目类别:Continuing Grant
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资助金额:$43.99万
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财政年份:2003
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负责人:Peter Belhumeur
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依托单位:
Instrumentation for Empirical Studies in the Modeling of Visual Appearance
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批准号:0224431
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项目类别:Standard Grant
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资助金额:$11.5万
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财政年份:2002
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负责人:Peter Belhumeur
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依托单位:
CAREER: Image Variability Decomposition for Recognition, Reconstruction, and Tracking
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批准号:0234606
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项目类别:Continuing Grant
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资助金额:$9.22万
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财政年份:2002
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负责人:Peter Belhumeur
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依托单位:
CAREER: Image Variability Decomposition for Recognition, Reconstruction, and Tracking
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批准号:9703134
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项目类别:Continuing Grant
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资助金额:$50.0万
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财政年份:1997
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负责人:Peter Belhumeur
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依托单位:
海外基金