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1.发明授权Method, apparatus and computer readable recording medium for detecting a location of a face feature point using an Adaboost learning algorithm 有权用于使用Adaboost学习算法检测脸部特征点的位置的方法，装置和计算机可读记录介质公开(公告)号：US09563821B2
公开(公告)日：2017-02-07
申请号：US14926284
申请日：2015-10-29
Applicant: Intel Corporation
Inventor： Yeongjae Cheon , Yongchan Park
CPC classification number: G06K9/6257 , G06K9/00221 , G06K9/00228 , G06K9/00281 , G06K9/00288 , G06K9/3233 , G06K9/6202 , G06K9/6219 , G06K9/6221 , G06K9/6227 , G06K9/6232 , G06K9/6262
Abstract: The present disclosure relates to detecting the location of a face feature point using an Adaboost learning algorithm. According to some embodiments, a method for detecting a location of a face feature point comprises: (a) a step of classifying a sub-window image into a first recommended feature point candidate image and a first non-recommended feature point candidate image using first feature patterns selected by an Adaboost learning algorithm, and generating first feature point candidate location information on the first recommended feature point candidate image; and (b) a step of re-classifying said sub-window image classified into said first non-recommended feature point candidate image, into a second recommended feature point candidate image and a second non-recommended feature point candidate image using second feature patterns selected by the Adaboost learning algorithm, and generating second feature point candidate location information on the second recommended feature point recommended candidate image.
Abstract translation: 本公开涉及使用Adaboost学习算法来检测脸部特征点的位置。 根据一些实施例，一种用于检测面部特征点的位置的方法包括：（a）使用第一方法将子窗口图像分类为第一推荐特征点候选图像和第一非推荐特征点候选图像的步骤 通过Adaboost学习算法选择的特征图案，以及在第一推荐特征点候选图像上生成第一特征点候选位置信息; 和（b）使用所选择的第二特征图案将分类为所述第一非推荐特征点候选图像的所述子窗口图像重新分类为第二推荐特征点候选图像和第二非推荐特征点候选图像的步骤 通过Adaboost学习算法，并且在第二推荐特征点推荐候选图像上生成第二特征点候选位置信息。
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公开(公告)号：US09727786B2
公开(公告)日：2017-08-08
申请号：US14541981
申请日：2014-11-14
Applicant: Intel Corporation
Inventor： Jinwook Lee , Yongchan Park , Hongmo Je , Tae-Hoon Kim
CPC classification number: G06K9/00711 , G06K9/4642 , G06K9/4652 , G06T7/246
Abstract: System, apparatus, method, and computer readable media for on-the-fly captured image data object tracking. An image or video stream is processed to detect and track an object in concurrence with generation of the stream by a camera module. In one exemplary embodiment, HD image frames are processed at a rate of 30 fps, or more, to track one or more target object. In embodiments, object detection is validated prior to employing detected object descriptor(s) as learning data to generate or update an object model. A device platform including a camera module and comporting with the exemplary architecture may provide 3A functions based on objects robustly tracked in accordance with embodiments.
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