Nevertheless, in recent years, several computer vision-based strategies have emerged for this task which utilize visual tags affixed to objects for identification. These approaches are distinguished by their reliance on commercial off-the-shelf components and mobile technologies rendering them cost-...
Computer vision capabilities There are three main functions for how computer vision programs process images and return information: Object classification Object identification Object tracking Optical character recognition The system classifies the objects in an image according to a defined category. For ...
Computer vision is not a new technology; the first experiments with computer vision started in the1950s, and back then, it was used to interpret typewritten and handwritten text. At that time, computer vision analysis procedures were relatively simple but required a lot of work from human ...
The effects of these advances on the computer vision field have been astounding. Accuracy rates for object identification and classification have gone from 50 percent to 99 percent in less than a decade — and today’s systems are more accurate than humans at quickly detecting and reacting to vi...
Object identificationis slightly different from object detection, although similar techniques are often used to achieve them both. In this case,given a specific object, the goal is to find instances of said object in images. It is not about classifying an image, as we saw previously, but about...
Object detection is one of the three basic tasks in the field of computer vision. The VOC2012 comp3 challenge has been one of the fiercest PASCAL VOC competitions, due to the diversity of target types and scenarios and the relatively small data set. These make identi...
Computer vision is an important branch of computer science and artificial intelligence,and has wide application in the agriculture field as a non-destructive testing technology.This paper reviewed the research progress in the computer vision technology in the identification and evaluation of maize quality...
《Computer Vision based Identification and Mosaic of Gramineous Grass Seeds》作者:中国农业科学技术出版社有限公司,出版社:2020年3月 第1版,ISBN:88.00。本书是基于计算机视觉的地数字化研究的初步成果汇编,研究禾本科牧种子的识别与拼接。本书作者来自内蒙古农
- Computer Vision & Pattern Recognition 被引量: 231发表: 2017年 Re-ranking Person Re-identification with k-reciprocal Encoding IEEE Conference on Computer Vision and Pattern Recognition(CVPR), (IEEE, 2017), pp. 3652-3661.Zhong, Z., Zheng, L., Cao, D., Li, S.: Re-... Z Zhong,L ...