Description: 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 recognition using fast adaptive hough transform Express Adaptive Hough Transform Author: DD Haule. AS Malowany Computer Vision and Robotics Laboratory Department of Electrical Engineering McGill University. The IEEE 1989 article in guiding Hough Transform Detect target recognition must have reference significance Platform: |
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Author:miaosiyi |
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Description: SIFT(Scale Invariant Feature Transform)即尺度不变特征变换，是 D. G.Lowe 在 1999 年提出的一种基于图像局部特征的描述算子，并于 2004年做了完善。SIFT算法是一种基于线性尺度空间，对图像缩放、旋转甚至仿射变换保持不变的局部特征描述算子，因此被广泛地应用于机器人定位、导航和地图生成中。-This paper presents a method for extracting distinctive invariant features from images that can be used
to perform reliable matching between different views of an object or scene. The features are invariant to image scale
and rotation, and are shown to provide robust matching across a substantial range of affine distortion, change in
3D viewpoint, addition of noise, and change in illumination. The features are highly distinctive, in the sense that a single feature can be correctly matched with high probability against a large database of features from many images. This paper also describes an approach to using these features for object recognition. The recognition proceeds by matching individual features to a database of features from known objects using a fast nearest-neighbor algorithm,followed by a Hough transform to identify clusters belonging to a single object, and finally performing verification through least-squares solution for consistent pose parameters. This approach to r Platform: |
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Description: 数字图像处理在人们的生活中无处不存在着它的影子，是非常流行热门的技术之一，可以说它是一种每时每刻都在改变着人类生活的技术。人们对于物体的识别主要针对于物体的外形，图像分割目的是对图像中有意义的特征部分进行提取，所谓有意义的特征包括图像中物体的外形边缘和区域等。本文主要针对其中的一个传统而经典的分割方法Hough变换而展开。Hough变换实现的是一种从图像空间到参数空间的映射关系，具有对抗噪声的鲁棒性以及在图像中的不连续性等优点，通过它构建的参数空间可以容易地对特定形状，如直线、圆等解析曲线进行判断。-Digital image processing is one of the most popular technologies today, and in our daily life everywhere has its shadow. We can say that it is a kind of all in the changing human life technology. The object recognition mainly based on the shape of the object, and image segmentation is to extract meaningful characteristic aspects of the image, the so-called meaningful features including images of objects in the shape of edge and region. This paper is expended by Hough Transform which is a traditional and classic segmentation method. The Hough transform is a mapping from the image space to the parameter space, and it has robustness to noise, as well as in the discontinuities in the image, etc. The specific shape can easily be detected through its parameter space construction, such as straight lines, circles, and other analytical curve. Platform: |
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Author:yanjue |
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Description: 数字图像处理在人们的生活中无处不存在着它的影子，是非常流行热门的技术之一，可以说它是一种每时每刻都在改变着人类生活的技术。人们对于物体的识别主要针对于物体的外形，图像分割目的是对图像中有意义的特征部分进行提取，所谓有意义的特征包括图像中物体的外形边缘和区域等。本文主要针对其中的一个传统而经典的分割方法Hough变换而展开。Hough变换实现的是一种从图像空间到参数空间的映射关系，具有对抗噪声的鲁棒性以及在图像中的不连续性等优点，通过它构建的参数空间可以容易地对特定形状，如直线、圆等解析曲线进行判断。-Digital image processing is one of the most popular technologies today, and in our daily life everywhere has its shadow. We can say that it is a kind of all in the changing human life technology. The object recognition mainly based on the shape of the object, and image segmentation is to extract meaningful characteristic aspects of the image, the so-called meaningful features including images of objects in the shape of edge and region. This paper is expended by Hough Transform which is a traditional and classic segmentation method. The Hough transform is a mapping from the image space to the parameter space, and it has robustness to noise, as well as in the discontinuities in the image, etc. The specific shape can easily be detected through its parameter space construction, such as straight lines, circles, and other analytical curve. Platform: |
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Author:yanjue |
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Description: NUDT数字图像分析课程设计，包括四个模块分别为人脸识别、运动目标检测、图像匹配、hough变换提取圆-NUDT digital image analysis program design, including the four modules are face recognition, object detection, image matching, hough transform to extract round Platform: |
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Author:刘永 |
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