Analysis and comparison on image feature detectors
| Autor: | Ming Yu, Hongmei Tang, Chengming Guo, Zhitao Xiao |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
business.industry
Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Kanade–Lucas–Tomasi feature tracker Pattern recognition Edge detection Scale space Interest point detection Histogram of oriented gradients Image texture Feature (computer vision) Artificial intelligence business |
| Zdroj: | 2002 3rd International Symposium on Electromagnetic Compatibility. |
| DOI: | 10.1109/elmagc.2002.1177515 |
| Popis: | A number of image feature detectors and their characteristics are analyzed. The key issues of image feature detection are discussed extensively and comprehensively. Gradient-based feature detectors, their properties, and faults are discussed and phase-based techniques and their problems are also explained. Based on the survey, some open issues, which need to be researched further, are presented, and the future research trends are also discussed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|