期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2013
卷号：10
期号：6
出版社：IJCSI Press
摘要：The construction of large, high-resolution view is an active area of research in many fields like computer vision and computer graphics. This research is concerned with combining multiple images with overlapping region to produce a panoramic view by the detection of feature points for images with different camera motion in an efficient and fast way. Feature extraction is an important and critical step in panoramic view construction. This study presents techniques of corner detection, geometric moments and random sampling to accurately locate the important feature points in the images under noise, transformation, lighting, little viewpoint changes, blurring and compression circumstances. For each extracted feature in the image, a descriptor is calculated and the matching is done based on the homograph transformation. The results of experiments conducted on images taken by handheld camera and images taken from the internet. The results show that the proposed algorithm is fast and efficient compared with the panorama generation using the most famous SIFT method.
