Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2000.11d
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- Pages.65-68
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- 2000
Object Recognition by Invariant Feature Extraction in FLIR
적외선 영상에서의 불변 특징 정보를 이용한 목표물 인식
Abstract
This paper describes an approach for extracting invariant features using a view-based representation and recognizing an object with a high speed search method in FLIR. In this paper, we use a reformulated eigenspace technique based on robust estimation for extracting features which are robust for outlier such as noise and clutter. After extracting feature, we recognize an object using a partial distance search method for calculating Euclidean distance. The experimental results show that the proposed method achieves the improvement of recognition rate compared with standard PCA.
Keywords