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人脸识别系统
人脸检测不仅是全自动人脸识别系统的基本步骤,而且本身也可以独立的应用于视频监控、图像检索等领域,因而具有重要的研究价值。尽管Viola等人于2001年提出的基于AdaBoost的人脸检测算法以其卓越的性能而得到了大家的青睐,并已基本解决了大多数情况下的人脸检测问题,但在实际应用中,尤其是智能监控应用中,仍然存在较多挑战性问题。-Automatic face detection face recognition system is not only the basic step
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机器学习的自适应提升(adaboost)算法包,提供了学习boosting算法的通用框架,包括:学习、验证、测试、性能分析等 -Machine learning to enhance the adaptive (adaboost) algorithm package, boosting learning algorithm provides a generic framework, including: learning, validation, testing, performance ana
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Cognitive radio frequency spectrum detection-The spectrum sensing of a wideband frequency range is studied by dividing it into multiple subbands.
It is assumed that in each subband either a primary user (PU) is active or absent in a additive white
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本文展开了对尿沉渣图像
自动识别算法的研究。著者在从事“尿沉渣图像自动识别算法的研究”课题的研究
中,广泛吸取了国内外已有的有益成果,根据尿沉渣图像特点从图像增强、图像
分割、特征提取和特征选择、图像识别等各个环节寻求最佳的可行方法以提高识
别的性能,提出了基于组合图像分割算法、改进的特征提取和特征选择算法以及
BP神经网络分类器的尿沉渣图像自动识别算法。-This started on the urine sediment image recognition algorit
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几种典型红外弱小目标检测算法的性能评估文档,是进行算法开发的研究基础-Typical infrared small target detection algorithm performance assessment.This document is the basis for algorithm development research
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基于HSI空间的颜色算法提牌照识别的性能Algorithm based on HSI color space to mention the performance license plate recognition-Algorithm based on HSI color space to mention the performance license plate recognition
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这是一篇论文,基于GPU的并行人脸识别算法,学习模式识别的同志们可以看看,使用GPU优化之后的人脸识别算法有更好的性能。-This is a paper, GPU-based parallel face recognition algorithms, learning pattern recognition of comrades can see, after using the GPU optimized face recognition algorithm has better perfor
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在传统图像识别中的模板匹配技术面临着计算量大,存储量大的缺点,因此提出了基于遗传算法的图像识别的方法。本文提出了传统的基于遗传算法和normxcorr2结合的方法,对图像进行离散化,然后把图像识别问题变成一系列的离散点组合优化问题,再利用遗传算法对种群优化的性能,对各个控制点组合优化,让控制点与模板进行匹配,寻出最优解。最后通过实验验证遗传算法在图像识别的优点。-In the traditional image recognition in the face template matching
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一种新的目标识别算法,它是把模板匹配
思想和性能优异的思维进化计算结合起来,在均匀颜色空间上匹配。-A new target recognition algorithm, which is the template matching
Thinking and performance Mind Evolutionary Computation combined to match the uniform color space.
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一种实现人体步态识别的baseline算法,用c语言开发的,运行环境最好是Linux系统,算法性能稳定,可靠性高。-A baseline algorithm of human gait recognition , development of c language, running environment is the best Linux system, the performance of the algorithm is stable, and highly reliable.
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这是一个人脸识别演示/测试程序,用户可以基于程序中已经实现的算法,开发新的有关人脸识别的应用;也可以修改或添加新的算法,并测试其性能。-This is a face recognition demo/test program, the user can be based on the algorithm has been implemented in the program, the development of a new face recognition applications can
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给出一种以核共生矩阵为跟踪特征的均值移动跟踪算法meanshift算法 -The performance of visual target tracking algorithm using color histograms as tracking cues is always affected by illumination, visual angle and camera parameters.
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智能天线的cma算法的matlab仿真,性能相当好!,不错的源码(Cma algorithm of smart antenna in the matlab simulation, the performance is quite good!)
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