AJOU Central Library Repository: CNN 을 사용하여 단일 이미지에서 상위 수준의 헤어스타일 속성을 분류하고 회귀 학습

CNN 을 사용하여 단일 이미지에서 상위 수준의 헤어스타일 속성을 분류하고 회귀 학습

Keyword: annotation; attributes; classification; data generation; deep convolutional neural network; deep learning; hair; regression

Alternative Abstract: We present a fully automatic framework that classifies and regress the high-level hair attributes specifically length of hair and hair color from a single input image. This research was conducted to reduce the hard labor preparing the desired data for training and learning purpose. Also, this research can expand to different human face analysis research. We created new annotations for ten thousand image data. Which can be used for future research on human face analysis. We developed an automatic file distributor when annotations are liable. We further show the effectiveness of our experiment on cellular phone taken images.

Appears in Collections:: Graduate School of Ajou University > Department of Life and Media Cooperation Course > 3. Theses(Master)

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