کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
533683 | 870152 | 2009 | 12 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Unsupervised constellation model learning algorithm based on voting weight control for accurate face localization Unsupervised constellation model learning algorithm based on voting weight control for accurate face localization](/preview/png/533683.png)
In this paper, we propose a novel unsupervised constellation model learning algorithm based on voting weight control for accurate scale, rotation, and translation invariant face localization without manual selection of feature points. The constellation model is learned by controlling the expected voting weights of the local features to obtain their perceptual boundaries and the distribution of voting weights, and selecting most common features as the representative features among them. The proposed constellation model can be learned incrementally to successfully localize faces when the previously learned model fails to localize them accurately. Through experiments, it is shown that the proposed constellation model can accurately localize faces of various size, orientation, and location.
Journal: Pattern Recognition - Volume 42, Issue 3, March 2009, Pages 322–333