Computer vision

DARPA's Visual Media Reasoning concept video

Artist's Concept of Rover on Mars, an example of an unmanned land-based vehicle. Notice the stereo cameras mounted on top of the Rover.

Computer vision for people counter purposes in public places, malls, shopping centres

Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. A theme in the development of this field has been to duplicate the abilities of human vision by electronically perceiving and understanding an image. Understanding in this context means the transformation of visual images (the input of retina) into descriptions of world that can interface with other thought processes and elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. Computer vision has also been described as the enterprise of automating and integrating a wide range of processes and representations for vision perception.

单词	Image classification
释义	Image classification 原声例句 Apple 最新资讯 We talk about image classification, music tagging, handwriting recognition, and much, much more. 我们谈论了图像分类、音乐标签、手写识别等等很多类型的应用。中级英语短文 By applying the evolved neural circuits, the researchers construct spiking neural networks for image classification and reinforcement learning tasks. 通过应用进化的神经环路，研究人员构建了用于图像分类和强化学习任务的脉冲神经网络。 Life Noggin In computer science terms, this is basically an image classification task. 在计算机科学术语中，这基本上是一项图像分类任务。英语百科 Computer vision Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. A theme in the development of this field has been to duplicate the abilities of human vision by electronically perceiving and understanding an image. Understanding in this context means the transformation of visual images (the input of retina) into descriptions of world that can interface with other thought processes and elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory. Computer vision has also been described as the enterprise of automating and integrating a wide range of processes and representations for vision perception.
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Image classification

Computer vision