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Object recognition from local scale-invariant features
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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
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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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1. 实验目的
⑴掌握有自平衡能力的热工对象的几种辨识方法
⑵掌握掌握数值积分法在有自平衡能力的对象的辨识中的应用,加深对系统辨识的理解和应用。
2. 实验内容
用数值积分法辨识系统参数,结果表示形式为Ф(s)= ,即根据未知系统的输入输出数据求取n,k,T0。输入数据格式为二进制文件,输出为n,k,To具体数值及系统响应曲线。程序运行时画出未知系统的输入输出曲线与辨识得到的参数生成的输入输出曲线对比,就可以得到此种辨识方法的准确度。
-1. ⑴ grasp the pur
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给予捆绑物体的识别! 给予捆绑物体的识别! -Object recognition for bundling! Object recognition for bundling! Object recognition for bundling! Object recognition for bundling!
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形状特征是武器装备目标识别的关键因素。针对归一化后轴夹角的特点和小波描述子多尺度描述轮廓曲
线的特性,提出一种R树索引的分层检索技术模型,在模型库空间逐级过滤出与目标相似的模板,以保证检索的效
率和准确性,并通过对军用车辆的检索实验验证了模型的有效性。-The shape features of military weapons&equipment are the most important key factors of image
object recognition.Aimin
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我收集的基于Haar的对象识别的一些中文论文,结合起来看可以方便理解-I collect Haar-based object recognition in a number of Chinese papers, combined, can easily understand
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Scale Invariant Feature Transform (SIFT) has shown to be very powerful for general object detection/recognition. And recently, it has been applied in face recognition. This is the matlab code.
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facilitate the user s task. One such approach is the
object-related image retrieval. In the context of face
images, it is of interest to retrieve images based on
people s names and facial expressions. However, when
images of the database a
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自适应逆控制技术Simulink程序。可用于全频段振动隔离。需要离线对象辨识。可运行-Adaptive Inverse Control Technology Simulink program. Vibration isolation for the whole band. Require off-line object recognition. Can run
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1 绪论
2 数字图像基础
3 空间域图像增强
4 频率域图像增强
5 图像复原
6 彩色图像处理
7 小波变换和多分辨率处理
8 图像压缩
9 形态学图像处理
10 图像分割
11 表示与描述
12 对象识别-1 Introduction 3 2 digital image based on spatial frequency domain image enhancement image enhancement 4 5 6 Color image p
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picture object recognition
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本书在介绍MATLAB编程基础知识之后,主要围绕数字图像处理的主干内容展开。这些内容包括:亮度变换、线性和非线性空间滤波、频率域滤波、图像复原与配准、彩色图像处理、小波、图像数据压缩、形态学图像处理、图像分割、区域和边界的表示与描述以及目标识别。-Book introduces the basics of MATLAB programming, the main focus on the backbone of the contents of digital image processing t
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一种通用的稀疏编码方法,sparse coding,在图像去噪,目标识别等方面有着广泛的应用。-A generic sparse coding, sparse coding, in image denoising, object recognition have a wide range of applications.
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Skeleton and shape alignment are used in object recognition shape coding techniques in computer vision.The given c source code works under borland c++.It uses graphics (initgraph) and int86 functions to draw from mouse ,to display shape on monitor.
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object recognition using convolution
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projects related to object recognition
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异质链表实现:链表主要操作方面:
遍历链表时,对应不同的类型对象对象识别问题。通过RTTI可识别类型。-Achieve heterogeneous linked list: list the main operating areas: traverse linked list, the corresponding objects of different types of object recognition. RTTI can be identified by type.
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基于几何特征进行物体识别。首先是简单的识别背景介绍,然后具体介绍方法。-Object recognition based on geometric features. The first is the simple recognition background, and then introduce the specific methods.
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图像处理。几何方法。选取图形的边界作为特征提取。-Image processing. Geometric method. Selected as the feature extraction of the boundary graph.
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