发明名称 |
Efficient facial landmark tracking using online shape regression method |
摘要 |
Disclosed in some examples are various modifications to the shape regression technique for use in real-time applications, and methods, systems, and machine readable mediums which utilize the resulting facial landmark tracking methods. |
申请公布号 |
US9361510(B2) |
申请公布日期 |
2016.06.07 |
申请号 |
US201314106134 |
申请日期 |
2013.12.13 |
申请人 |
Intel Corporation |
发明人 |
Yao Anbang;Du Yangzhou;Tong Xiaofeng;Wang Tao;Chen Yurong;Li Jianguo;Ye Jianbo;Li Wenlong;Zhang Yimin |
分类号 |
G06K9/00;G06K9/62 |
主分类号 |
G06K9/00 |
代理机构 |
Schwegman Lundberg & Woessner, P.A. |
代理人 |
Schwegman Lundberg & Woessner, P.A. |
主权项 |
1. A method for detection of facial landmark points, the method comprising:
detecting a facial image in a first video frame using a face classifier; normalizing the detected facial image by applying a first transform to the detected facial image; detecting a set of facial landmark points of the normalized facial image using a trained shape regressor; computing a set of final facial landmark points in the first video frame by applying a second transform to the facial landmark points, the second transform an inverse transform of the first transform; calculating a facial bounding box for a second video frame using the computed set of final facial landmark points from the first video frame; normalizing a second facial image in the second video frame by applying a third transform to the second facial image, the second facial image comprising the image of the second video frame within the facial bounding box; detecting a second set of facial landmark points in the normalized second facial image using the trained shape regressor; and computing a second set of final facial landmark points in the second video frame by applying a fourth transform to the facial landmark points, the fourth transform an inverse transform of the third transform. |
地址 |
Santa Clara CA US |