Title: Multi-View Images Rectification Based on Feature Points Matching
Abstract: The rectification of multi-view images is one of key techniques to improve the quality of 3DTV viewing.Most of the existing image rectification algorithms are for stereo or triple images,but fewer for images captured by parallel or arc multi-camera arrays,and subject to camera calibration parameters and camera spacing greatly.This paper presents an uncalibrated rectification algorithm for multi-view images captured by a multi-camera array.Without camera calibration,the rectification transformation matrix was calculated by searching for matched feature points and using the relationship of vertical parallax,and by which to rectify the original image.Experimental results show that the vertical mismatch between rectified images is greatly reduced,and the rectified images can provide good stereo vision of the subjective test.
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: article
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Cited By Count: 1
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