Boosting-kind Face Classifier Based on Grid Features

碩士 === 國立交通大學 === 電子工程系所 === 97 === Detection is an important function of human vision. However, it is still a big challenge for computer vision. In this thesis, we propose a new grid feature for boosting-kind face classifiers. The grid features contain three major properties: (1). they use a grid r...

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Bibliographic Details
Main Authors: Lo Chun Chen, 駱俊晟
Other Authors: Sheng-Jyh Wang
Format: Others
Language:en_US
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/33663793739052167242