计算机科学 ›› 2014, Vol. 41 ›› Issue (3): 279-281.

• 图形图像与模式识别 • 上一篇    下一篇

一种快速的空间变换模型计算方法

路晓静,黄向生   

  1. 中国科学院自动化研究所 北京100090;中国科学院自动化研究所 北京100090
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受基于超多视角成像的三维重建关键技术研究(61175034)资助

Fast Calculation Method of Space Transform Model

LU Xiao-jing and HUANG Xiang-sheng   

  • Online:2018-11-14 Published:2018-11-14

摘要: 提出一种基于Sobel算子特征点检测的快速空间变换模型计算方法。利用Sobel算子对边缘的敏感特性生成Sobel描述器,进行特征点的描述和匹配,并运用PROSAC算法快速消除误匹配,从而计算出空间变换模型。实验结果表明,算法采用简单的Sobel算子组合成描述器,快速提取出了图像中的特征点,并且根据相似性描述器准确地进行了特征点匹配,提高了空间变换模型的计算速度,为增强现实和图像拼接等视觉领域应用提供了前提[1,2]。

关键词: Sobel算子,描述器,特征点,特征点匹配,PROSAC,增强现实,图像拼接 中图法分类号TP391.4文献标识码A

Abstract: A novel fast spatial transformation model calculation approach,based on Sobel operator feature point detection,was proposed.The Sobel descriptor is constructed by taking advantages of the sensitive characteristics of Sobel o-perator on edge.The features are extracted and matched.Then the wrong matching points are eliminated by PROSAC algorithm,and the spatial transformation model between two images is calculated.The experimental results demonstrate that the simple structure Sobel descriptor can extract the feature points with high speed and match the feature points between two images exactly,thus improve the calculation speed,provide a method for augmented reality and image mosaic etc.

Key words: Sobel operator,Descriptor,Feature point,Feature point matching,PROSAC,Aaugmented reality,Image mosaic

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