Efficient Image Stitching Using Fast Feature Descriptor Extraction and Matching
| Autor: | Sang Burm Rhee |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Minutiae
business.product_category Computer science business.industry Orientation (computer vision) Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Image stitching Digital image Feature (computer vision) Computer vision Artificial intelligence business Feature detection (computer vision) Digital camera |
| Zdroj: | KIPS Transactions on Software and Data Engineering. 2:65-70 |
| ISSN: | 2287-5905 |
| DOI: | 10.3745/ktsde.2013.2.1.065 |
| Popis: | Recently, the field of computer vision has been actively researched through digital image which can be easily generated as the development and expansion of digital camera technology. Especially, research that extracts and utilizes the feature in image has been actively carried out. The image stitching is a method that creates the high resolution image using features extract and match. Image stitching can be widely used in military and medical purposes as well as in variety fields of real life. In this paper, we have proposed efficient image stitching method using fast feature descriptor extraction and matching based on SURF algorithm. It can be accurately, and quickly found matching point by reduction of dimension of feature descriptor. The feature descriptor is generated by classifying of unnecessary minutiae in extracted features. To reduce the computational time and efficient match feature, we have reduced dimension of the descriptor and expanded orientation window. In our results, the processing time of feature matching and image stitching are faster than previous algorithms, and also that method can make natural-looking stitched image. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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