상세정보
학술대회
An Experimental Comparison of Preprocessing Methods for Age Classification
- 발행일
- 200910
- 출처
- International Symposium on Robot and Human Interactive Communication (RO-MAN) 2009, pp.951-954
- 출판사
- IEEE
- 협약과제
- 09IC1800, u-로봇 HRI 솔루션 및 핵심 소자 기술 개발, 황대환
- 초록
- This paper investigates image transformations as preprocessing steps that can be applied toward a state-of-the-art age classification framework of manifold learning. We report on the experimental results of four different preprocessing methods in terms of classification accuracy using a large training and test face database. The use of histograms of oriented gradient (HOG) descriptors increases the classification accuracy from 46 to 75%. Robustness to the rotation and translation is also tested. © 2009 IEEE.
- KSP 제안 키워드
- Age Classification, Classification framework, Experimental comparison, Face Database, Histograms of Oriented Gradients(HOG), Manifold learning, Preprocessing Steps, Rotation and Translation, classification accuracy, image transformations, preprocessing methods