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利用稀疏主分量分析实现目标识别中的特征提取，包括论文和仿真代码。-Informative Feature Selection for Object Recognition via Sparse PCA
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object recognition using fast adaptive hough transform 快速自适应霍夫变换
作者：D.D. Haule. A.S. Malowany
Computer Vision and Robotics Laboratory
Department of Electrical Engineering
McGill University。IEEE 1989的文章，对指导霍夫变换检测目标的识别有一定的参考意义-object recognitio
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This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardwa
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This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardwa
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sift的经典文章，是由low s发表的Object Recognition from Local Scale-Invariant Features-sift the classic article by the low' s on the Object Recognition from Local Scale-Invariant Features
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It is my thesis report. adaptive based object recognition in massive environment.
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三维人脸识别的经典文章，是三维人脸表情识别论文争相引用的经典文章-Using Biologically Inspired Features for Face Processing
In this paper, we show that a new set of visual
features, derived from a feed-forward model of the primate
visual object recognition pathway proposed by R
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一种基于最大熵和部件的物体检测方法。在人脸检测上的应用取得了很大的准确率提升。-This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance
of scale- or affine-invariant ke
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SIFT特征和正交DLT算法在物体识别中的应用.-SIFT features and orthogonal DLT algorithm in object recognition.
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In order to fulfill the implementation of this project there are three main objectives that need to be achieved:
1. To learn and apply a technique for object recognition for single and multiface detection.
2. To examine the principal compon
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It is a Document for d project of Object Recognition using Gabor Filter
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基于8向链码的不变矩快速计算算法，可应用于2-D物体识别-2-D object recognition can be applied to the chain code unchanged moments quick calculation algorithm
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计算机视觉研究的主要问题之一是运动物体的检测与跟踪, 它将图像处理、模式识别、自动控制、人
工智能和计算机等很多领域的先进技术结合在了一起, 主要应用在军事视觉制导、视频监控、医疗诊断和智能交通
等各个方面, 因此该技术已经成为一个重要的研究方向。阐述了视觉跟踪算法的研究现状和视觉跟踪算法的种类,
研究了基于区域的跟踪算法、基于模型的跟踪算法、基于特征的跟踪算法和基于主动轮廓的跟踪算法, 探讨了视觉
跟踪算法的未来研究方向。-One of the computer vision
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介绍了基于雷达观测的空间目标识别仿真软件的功能组成，仿真模型和实现方法。讨论了计算机动态RCS需要考虑的坐标转换问题。-It is necessary t0 know which direction the electromagnetic wave is lannehed When calculating target’s RCS
Simulation is a better way to analyze this problem of space object electromagneti
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文章拟采用机油和油菜的高光谱图像数据为具体对象，分别从光谱特性分析和图像特性分析两个角度，采用流形学习方法探索一种从非线性高光谱图像数据中提取低维本质信息的方法，结合支持向量机、线性判别分析等模式识别方法建立机油品种和油菜品种的识别模型
-Article intends to adopt oil and rapeseed hyperspectral image data for a specific object, respectively, from the spectral chara
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segmentation and object detection
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matlab it is about object recognition
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A Packet Delay Analysis for Cellular Digital Packet Data
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SURF意指 加速的具有鲁棒性的特征，由Bay在2006年首次提出，这项技术可以应用于计算机视觉的物体识别以及3D重构中。SURF算子由SIFT算子改进而来，一般来说，标准的SURF算子比SIFT算子快好几倍，并且在多幅图片下具有更好的鲁棒性。SURF最大的特征在于采用了harr特征以及积分图像integral image的概念，这大大加快了程序的运行时间。-SURF (Speeded Up Robust Feature) is a robust local feature detector,
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