Automatic Image Mosaic System Using Image Feature Detection and Taylor Series

Image mosaicing has been collecting considerable attention in the field of computer vision and photogrammetry. Unlike previous methods using a tripod, we have developed which can handle images taken with a hand-held camera to accurately construct a panoramic image. This paper proposes the automatic image mosaic system implementation, which it sees to use feature detection of the image, which is extracted a feature point adjustment from continuous two images hour automatically from pixel price of image and in order to accomplish. Feature based image mosaics require the integration of corner detection, corner matching, motion parameters estimation, and image stitching. We used Taylor series for parameter and perspective transform estimation.

• Type: Conference
• Year: 2003
• Where: DICTA
• Authors: SooHyun Cho, YunKoo Chung, Jaeyeon Lee
• Keywords: DICTA 2003, DICTA 2007, Feature Based Image, Image, Image Mosaics