Automatic image mosaic system using steerable Harris corner detector

Mahesh, M. Subramanyam
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引用次数: 8

Abstract

Image mosaic is to be combine several views of a scene in to single wide angle view. This paper proposes the image mosaic based on feature based approach. The steps in image mosaic include feature point detection, feature point descriptor extraction and feature point matching. A RANSAC algorithm is applied to eliminate number of mismatches and obtain transformation matrix between the images. The input image is transformed with the correct mapping model for image stitching and same is estimated. In this paper, feature points are detected using steerable Harris and compared with traditional Harris, SUSAN corner detectors.
采用可操纵哈里斯角探测器的自动图像拼接系统
图像拼接是将一个场景的多个视图组合成一个广角视图。提出了一种基于特征的图像拼接方法。图像拼接的步骤包括特征点检测、特征点描述符提取和特征点匹配。采用RANSAC算法消除图像间的不匹配,得到图像间的变换矩阵。利用正确的映射模型对输入图像进行变换,并进行图像拼接估计。本文采用可转向Harris角点检测方法,并与传统的Harris、SUSAN角点检测方法进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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