지역 특징을 사용한 실시간 객체인식Real-Time Object Recognition Using Local Features
- Other Titles
- Real-Time Object Recognition Using Local Features
- Authors
- 김대훈; 황인준
- Issue Date
- 2010
- Publisher
- 한국전기전자학회
- Keywords
- Object recognition; Local features; Object classification; Real-time; Object recognition; Local features; Object classification; Real-time
- Citation
- 전기전자학회논문지, v.14, no.3, pp.199 - 206
- Indexed
- KCI
- Journal Title
- 전기전자학회논문지
- Volume
- 14
- Number
- 3
- Start Page
- 199
- End Page
- 206
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/117723
- ISSN
- 1226-7244
- Abstract
- Automatic detection of objects in images has been one of core challenges in the areas such as computer vision and pattern analysis. Especially, with the recent deployment of personal mobile devices such as smart phone, such technology is required to be transported to them. Usually, these smart phone users are equipped with devices such as camera, GPS, and gyroscope and provide various services through user-friendly interface. However, the smart phones fail to give excellent performance due to limited system resources. In this paper, we propose a new scheme to improve object recognition performance based on pre-computation and simple local features. In the pre-processing, we first find several representative parts from similar type objects and classify them. In addition, we extract features from each classified part and train them using regression functions. For a given query image, we first find candidate representative parts and compare them with trained information to recognize objects. Through experiments, we have shown that our proposed scheme can achieve resonable performance.
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Collections - College of Engineering > School of Electrical Engineering > 1. Journal Articles
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