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Leafsnap:一种自动植物的计算机视觉系统识别

Leafsnap: A Computer Vision System for Automatic Plant Species Identification
课程网址: http://videolectures.net/eccv2012_kumar_vision/  
主讲教师: Andrea Vedaldi, Neeraj Kumar, Michal Irani
开课单位: 华盛顿大学
开课时间: 2012-11-12
课程语种: 英语
中文简介:
我们描述了第一个使用自动视觉识别来识别植物物种的移动应用程序。这个名为 "叶" 的系统从它们叶子的照片中识别出树种。该系统的关键是计算机视觉组件, 用于丢弃非叶图像, 从无纹理的背景中分割叶子, 提取代表多个尺度上叶子轮廓曲率的特征, 并从美国东北部184棵树的数据集我们的系统从新的 leafsnap 数据集 (同类数据集) 获得了真实世界图像的最先进性能。在整个过程中, 我们记录了生产像我们这样的计算机视觉系统所需的许多实际步骤, 目前有将近100万用户。
课程简介: We describe the first mobile app for identifying plant species using automatic visual recognition. The system - called Leafsnap - identifies tree species from photographs of their leaves. Key to this system are computer vision components for discarding non-leaf images, segmenting the leaf from an untextured background, extracting features representing the curvature of the leaf's contour over multiple scales, and identifying the species from a dataset of the 184 trees in the Northeastern United States. Our system obtains state-of-the-art performance on the real-world images from the new Leafsnap Dataset - the largest of its kind. Throughout the paper, we document many of the practical steps needed to produce a computer vision system such as ours, which currently has nearly a million users.
关 键 词: 计算机科学; 计算机视觉; 应用程序; 数据和代码
课程来源: 视频讲座网
最后编审: 2020-07-06:heyf
阅读次数: 127