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corner features
相关语句
  角特征
     MOVING OBJECT RECOGNITION BASED ON CORNER FEATURES
     基于角特征的运动目标识别
短句来源
     A fast recognition algorithm is presented for interesting region extraction of an object based on corner features.
     本文给出了一种基于角特征的目标兴趣区的识别算法。
短句来源
  拐点特征
     Recognize Occluded Objects by Using Corner Features
     拐点特征的提取和物体破损图象的识别
短句来源
  “corner features”译为未确定词的双语例句
     Recognition of Object Shapes Based on Corner Features
     基于角点特征的形状识别
短句来源
     The method to acquire the construction and motion characteristic of the target whit high accuracy based on withdrawing the corner features of the target has been studied.
     研究通过提取运动目标的角点特征,获得目标的结构特征及速度特征的方法,实现目标的较精确识别和速度估计。
短句来源
     Some methodsof extracting corner features and matching the corners have been compared by experimentation.
     通过仿真实验,对多种角点提取、匹配算法进行了比较研究,结果表明本文采用和改进的角点跟踪算法可以实现对目标的准确角点跟踪。
短句来源
     First, corner features on each scanning curve are identified and extracted,then corner feature tracking algorithm is used to link the extracted corner feature to feature frame.
     首先在每条激光线扫描曲线上提取不连续的角点特征,然后经过扫描线之间角点特征的跟踪、匹配与连接构成特征线框。
短句来源
     In the field of man-made object detection,vanishing point feature is more robust than edge and corner features. So it has been paid much attention.
     在人工目标检测中,消失点信息比边缘、拐角等特征更加鲁邦。
短句来源
更多       
  相似匹配句对
     MOVING OBJECT RECOGNITION BASED ON CORNER FEATURES
     基于角特征的运动目标识别
短句来源
     Recognize Occluded Objects by Using Corner Features
     拐点特征的提取和物体破损图象的识别
短句来源
     Information Corner
     信息广角
短句来源
     On Unique Features
     特色论——关于高校办学的一点思考
短句来源
     The X-ray features.
     本文探讨了原发性肝外胆管癌的X线特征、鉴别诊断;
短句来源
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  corner features
The corners are detected based on an enhanced SUSAN (Smallest Univalue Segment Assimilating Nucleus) algorithm and the Delaunay Triangulation of corner points are used as the corner features.
      
Combining block and corner features for content-based trademark retrieval
      
After corner features are obtained, a novel approach is proposed to acquire the boundary information, which is based on the least square fitting method.
      
By using this algorithm, the optimal corner features are extracted to characterize the image.
      
This paper presents a robust 'corner feature extraction' algorithm which extracts corner features of binary image without any assumptions and constraints.
      
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A fast recognition algorithm is presented for interesting region extraction of an object based on corner features. Two direction code chains of boundary elements are obtained through forward and backward boundary tracking, and a corner is determined by the code chains. The dominate part of the object can be extracted by using prior information of corner distribution on the digital image. The algorithm suggested herein can be performed on a parallel basis. The simulation results proved it to...

A fast recognition algorithm is presented for interesting region extraction of an object based on corner features. Two direction code chains of boundary elements are obtained through forward and backward boundary tracking, and a corner is determined by the code chains. The dominate part of the object can be extracted by using prior information of corner distribution on the digital image. The algorithm suggested herein can be performed on a parallel basis. The simulation results proved it to be effective.

本文给出了一种基于角特征的目标兴趣区的识别算法。通过对二值图象边缘点的向前和向后K步跟踪,可以得到该点两个方向的方向链码,而一个角则由该两个方向链码确定。然后根据已知目标上角分布的先验信息,将目标的主体提取出来。本文给出的算法可并行实现。计算机模拟结果表明,该算法是有效的。

To present a method for the recoqnition of moving object based on corner features。Therecognition of moving object requires more attention than stationary or slowly-moving ob-ject,it requires nonsensitivity on scale, direction varying and object moving.

运动目标的识别比起静止或变化缓慢的目标识别具有更严格的要求,即要求对方位、比例因子的变化及目标的运动等因素不敏感。讨论了运动目标识别的不变矩方法后,提出了基于角特征的运动目标识别的方法。

The image contour is segmented into lines, arcs and smooth curves by median filtering of extended direction code. Based on this segmentation, a set of new local invariant features are proposed to recognize partially occluded objects, which is more reasonable compared with conventional corner features. The matching results of some typical examples shows that these features are robust ,effective in recognition.

RecognitionofPartialyOcludedObjectsBasedonSegmentationbyMedianFilteringofExtendedDirectionCodeWangYanping1),LarmagnacJean┐Pi...

 
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