Name
Abstract | ||
|---|---|---|
This paper presents a method for recognizing images with flat objects based on global keypoint structure correspondence.This technique works by two steps:reference keypoint selection and structure projection.The using of global keypoint structure is an extension of an orderless bag-of-features image representation,which is utilized by the proposed matching technique for computation efficiency.Specifically,our proposed method excels in the dataset of images containing "flat objects" such as CD covers,books,newspaper.The efficiency and accuracy of our proposed method has been tested on a database of nature pictures with flat objects and other kind of objects.The result shows our method works well in both occasions. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/s11390-012-1304-2 | J. Comput. Sci. Technol. |
Keywords | Field | DocType |
object recognition,flat object,image correspondence,structure projection | Computer vision,Global structure,Computer science,Image representation,Artificial intelligence,Computation,Cognitive neuroscience of visual object recognition | Journal |
Volume | Issue | ISSN |
27 | 6 | 1860-4749 |
Citations | PageRank | References |
4 | 0.43 | 12 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qing-Liang Lin | 1 | 4 | 0.43 |
| Bin Sheng | 2 | 368 | 61.19 |
| Yang Shen | 3 | 4 | 0.43 |
| Zhifeng Xie | 4 | 53 | 10.70 |
| Zhi-Hua Chen | 5 | 4 | 0.43 |
| Lizhuang Ma | 6 | 498 | 100.70 |