Robot vision-feedback function is utilized in many fields.
很多实际应用需要机器人有视觉反馈功能。
Thealgorithm has been used in GKD-1 robot vision system w...
该方法已经实际应用于GKD - 1型机器人视觉系统中。
Thealgorithm has been used in GKD-1 robot vision system working with...
该方法已经实际应用于GKD - 1型机器人视觉系统中。
Environment sensing is one of the focus researches for mobile robot vision-navigation.
环境感知是移动机器人导航研究的关键技术之一。
Robot vision system is an important application of embedded system in robot study field.
机器人视觉系统是嵌入式系统在机器人研究领域中的一项重要应用。
A technology of farming robot vision navigation based on Hough transformation was developed.
提出了一种基于霍夫变换的农田机器人视觉导航技术。
It is widely applied in robot vision and3D measure for binocular stereoscopic vision sensor.
双目立体视觉传感器在机器视觉和三维测量中有着广泛的应用。
In the design of robot vision servo module, a look-and-move system based on image is implemented.
在视觉伺服偏差调整单元的设计中，采用基于图像的动态视觉系统。
One robot vision system used electronic digital cameras containing many rows of light-sensitive materials.
机器人礼堂系统采用包含多行感官材料的电子数码相机。
With the soccer robot vision system as studied object, a set of methods of recognition of color mark is proposed.
以足球机器人视觉系统为研究对象，提出了一套基于颜色信息的色标识别方法。
Especially, in recent years, robot vision technology has become an important research subject in high technology area.
特别是近年来，机器人视觉技术已成为高技术领域一个重要的研究课题。
Robot vision is one of the key technologies for intelligent robots, which plays a decisive role for intelligent robot.
机器人视觉是智能机器人的关键技术之一，对机器人的智能化起着决定性的作用。
Auto-focusing technology is a key technology in the robot vision and imaging system and various optical precision instruments.
自动对焦技术是机器人视觉、数字成像系统和各种精密光学仪器中的关键技术。
According to the special structure of our robot vision system, the linear calibration is employed with a lot of simplifications.
根据视觉机器人系统结构特殊的特点，作了大量的简化，采用线性标定方法。
As the robot vision processing platform, the system can realize various vision algorithms, and transfer the results to robot's CPU.
该系统作为机器人视觉处理平台，可实现各种视觉处理算法，并将处理结果传递给机器人CPU。
This dissertation is devoted to the research of the digital image process, the design and realization of the mobile robot vision control system.
本文针对移动机器人视觉图像处理算法、控制的软件平台设计开展研究工作。
Face recognition is an important problem in the field of pattern recognition and robot vision. And Feature Extraction is an important part of it.
人脸识别是模式识别和机器视觉领域中的一个重要课题，其中，特征提取是人脸识别中的一个重要部分。
Visual information is one of the most important sources of environments' information for human, and the research of robot vision cannot be ignored.
对人类而言视觉信息是最重要的环境信息来源，对机器人而言自然不能忽略这一领域的研究。
Based on the practice of mobile robot vision navigation, the paper presents methods of image segmentation based on color models and object recognition.
基于移动机器人视觉处理的实践，提出了基于颜色模型的图像分割方法。
Anthropomorphic robot is one of the hottest research directions in robot field, and robot vision system is one of the most important markers of robot intelligence.
拟人机器人是当前机器人研究领域中最新的研究方向，机器人视觉系统是其智能化最重要的标志之一。
According to the specific identification task that robot vision recognition system will accomplish, the thesis builds a neural network based visual recognition system.
根据机器人视觉识别系统所要完成的具体识别任务，构建一个基于神经网络的视觉识别系统。
It is significant to research on mobile robot vision system and the related technology, such as camera calibration, multi-sensor fusion, robot navigation and control theory.
研究移动机器人视觉系统及其摄像机标定、多传感器信息融合、导航控制理论与方法具有非常重要的意义。
We selected the S3C44B0X embedded microprocessor and configured image acquisition and motor driver peripheral devices to set up the hardware platform of robot vision system.
以嵌入式微处理器S3C44B0X 为中心，配置图像采集和电机驱动等外围器件，构建了机器人视觉系统的硬件平台；
The tracking algorithm proposed in this paper has good usability, it will have good value to mobile robot vision technology, especially the related navigation system design.
本文提出的算法具有一定的实用性，对今后的移动机器人视觉技术，尤其是相关的导航系统设计与研究有一定的参考价值。
Functionally, a robot vision system contains the following processes: the obtaining of digital image, the image pre-processing, character extraction and image identification.
机器人视觉系统主要包括数字图像的获取、图像的预处理、特征提取和图像识别几部分。
This research includes error factor, multilateral scanning, denoising area of the preprocessing and color features in particular circumstances for a mobile robot vision system.
本课题针对特定环境下的移动机器人视觉系统提出了误差因子、多边扫描、预算面积去噪以及颜色特征在特定环境下的提取等改进方法。
A robot vision system based on optical wavelet transform is designed by means of photoelectric information techniques in accordance with slow processing speed of vision system.
针对视觉系统处理速度慢的问题，利用光电信息技术设计出基于光学小波变换的机器人视觉传感器。
A robot vision system based on optical wavelet transform is designed by means of photoelectric information techniques in accordance with slow processing speed of vision system.
针对视觉系统处理速度慢的问题，利用光电信息技术设计出基于光学小波变换的机器人视觉传感器。
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