搜索资源列表
computervisual
- 计算机视觉在三维重建中发挥着极其重要的作用,该ppt就比较系统的阐述了计算机视觉可以在三维重建中所实现的功能和所能解决的问题已经解决的方法-Computer Vision in three-dimensional reconstruction to play an extremely important role in the ppt on a more systematic exposition of the computer vision can be achieved in three-d
machinevision
- 机器视觉测量系统的精度研究,可以为从事机器视觉测量系统的精度研究的人员提供参考-The accuracy of machine vision measurement system research can be engaged in the precision machine vision measurement system studies provide information
RobustAdaptiveVideoWatermarkingAlgorithmBasedonHVS
- 一种基于人类视觉系统的视频水印的方法,该方法具有一定的实用性-The human visual system based on video watermarking method
PathAbleway
- 对于智能交通车(在特定道路上)基于视觉系统的识别程序(MATLAB开发环境),可识别多种以图片为形式的路况信息,才去的方法是边缘提取识别法。-For the Intelligent Transportation vehicles (in a particular way) is based on visual system identification procedure (MATLAB development environment), can identify a variety of pi
BasedonHVSdigitalimagewatermarkinginwaveletdomain.
- 基于人类视觉系统HVS的小波域数字图像水印 包含:嵌入、提取、分解、重构等-Based on human visual system HVS digital image watermarking in wavelet domain include: embedding, extraction, decomposition, reconstruction, etc.
rice_detection
- 利用机器视觉系统代替人眼获取各项大米参数,再参照国标对其进行等级划分。在此基础上, 利用MATLAB软件的神经网络工具箱在数理统计基础上完成检测模型的构建,从而实现对未知大米外特性的评判,并为检测大米综合品质奠定了基础。-rice detection.At p resent, the evaluation method of the rice quality in China is still at the level of naked eye observation. How to cla
Akindofmulti-cameravisionsystemcalibrationmethod.r
- 一种标定多摄像机视觉系统的方法,多摄橡机视觉系统的标定就是多目视觉的标定-A kind of multi-camera vision system calibration method, multi-camera machine vision system calibration rubber multi-purpose visual calibration is
chapter13
- 《数字图像处理与机器视觉:Visual C++与Matlab实现》6 支持向量机,综合案例——基于PCA和SVM的人脸识别系统-" Digital image processing and machine vision: Visual C++ and Matlab to achieve" 6 support vector machines, comprehensive case- based on PCA and SVM for Face Recognition Syste
lingzhangleimubiaoshibie
- 去的十年,通过实验手段,已积累灵长类视觉皮层的大量实验数据.许多研究者根据这些实验数据提 出动物视觉系统的模型,并将它们用于计算机目标识别.文中首先总结动物视觉系统的主要实验结论,然后评述基 于灵长类视觉系统工作机制的常用模型,重点讨论MIT的皮层等级模型.-Object Recognition Models Based on Primate Visual Cortices
The.Detail.Analysis.and.Improvement.of.Calibration
- 以计算机视觉和视觉检测中的摄像机标定过程作为研究的对象,分析了开源计算机视觉函数库OpenCV中的摄像机模型,使用张正友基于平面模板的方法进行标定,过程中充分考虑了透镜径向畸变和切向畸变因素的影响。文章给出了标定的详细步骤,并对具体函数做了算法上的分析,同时从参数非线性回归分析的角度提出了优化的途径和措施。该算法充分发挥了OpenCV函数库的功能,提高了标定精度和计算效率,具有良好的跨平台移植性,可以满足视觉检测或其它计算机视觉系统的需要。-To computer vision and visu
ov6720
- 基于S12单片机的循迹小车视觉系统设计与优 -Tracking based on S12 MCU design and optimization of car vision systems
fgbfdgh
- 基于结构信息提取的图像质量评价构相似性理论是一种关于图像质量评价的新思想.与自底向上地模拟人眼视觉系统(HVS)低阶的组 成结构不同,结构相似性理论自顶向下地模拟HVS的整体功能.-Theory is a kind of image quality evaluation about the new thoughts. And the simulation of human visual system (HVS) low-level group Into different structu
jiqirenshijue
- 博弈机器人视觉系统对抗决策的matlab源程序代码分析-Game against the decision robot vision system matlab source code analysis
jiqirendingwei
- 一种基于全景视觉系统的Robocop机器人定位方法-Panoramic vision system based on the Robocop Robot Localization
english
- 使用纠错码的基于人类视觉系统的数字水印方案(中英文翻译)-Use error-correcting codes based on human visual system digital watermark scheme (English translation)
robot
- 机器人视觉伺服系统方面的大量论文综述,学机器人机械臂等的可以看看那-Robotic visual servo systems of a large number of papers reviewed, the robot arm so you can learn to see that
fenshuilingsuanfa
- 在图像特征提取、识别以及基于特征的图像压缩等领域内,作为关键技术的图像分割方法具有重要的地位。本文首先对基于区域的图像分割技术进行了介绍。然后针对静态位图图像,利用基于链码的分水岭算法对图像进行分割.达到与人视觉系统比较符合的分割结果。-In the image feature extraction, recognition and feature-based image compression and other areas, as a key technology for image seg
sifukongzhi
- 伺服控制类的资料,包括高速电机高精度伺服控制、基于图像矩的视觉伺服控制及应用、主从机器人系统设计与双向伺服控制等,资料很好很全面。-Servo control type of information, including high-speed high-precision servo motor control, image-based visual servo control and the moment the application of master-slave robot system
815889771HVS
- 这个代码描述了人类视觉系统的几个特性,希望能够对大家有帮助,共同进步!-This code described several characteristics of human visual system, the hope can to help, make progress together!
RoboCupvision
- 足球机器人视觉系统功能介绍,并对图像分割方法进一步研究。- This paper introduces RoboCup vision system function and color image segmention study