Performance Evaluation of Feature Detection in using Subsampled Images for Image Stitching
Image stitching is a technique being used to stitch multiple images together to form a stitched image with higher resolution and larger field of view. It has been adopted in many research areas such as computer vision and medical applications. The first step in stitching is to first determine the overlap region or similarity. This can be done using feature extraction, follow by comparing the feature points in the images. Once the similarity is determined, the images are transformed into the same coordinate system that agreed by each other. Finally, the images can be pasted together. In this paper, the performance of various type of feature detector in extracting feature points from the subsampled version of the original images will be evaluated. The advantage of using the subsampled images is to reduce the memory requirement, and processing time.
Image Stitching Image Mosaicing Subsampled Feature Detector Feature Extraction
Wai Chong Chia Li-Minn Ang Kan Phooi Seng
Department of Electrical and Electronic Engineering The University of Nottingham Malaysia Campus Jal Department of Electrical and Electronic Engineering The University of Nottingham Malaysia Campus Jal
国际会议
成都
英文
60-64
2010-07-07（万方平台首次上网日期，不代表论文的发表时间）