Invention Grant
US08213691B2 Method for identifying faces in images with improved accuracy using compressed feature vectors
有权
使用压缩特征向量以改进的精度识别图像中的面部的方法
- Patent Title: Method for identifying faces in images with improved accuracy using compressed feature vectors
- Patent Title (中): 使用压缩特征向量以改进的精度识别图像中的面部的方法
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Application No.: US12345919Application Date: 2008-12-30
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Publication No.: US08213691B2Publication Date: 2012-07-03
- Inventor: Michael Jeffrey Jones , Jay Thornton
- Applicant: Michael Jeffrey Jones , Jay Thornton
- Applicant Address: US MA Cambridge
- Assignee: Mitsubishi Electric Research Laboratories, Inc.
- Current Assignee: Mitsubishi Electric Research Laboratories, Inc.
- Current Assignee Address: US MA Cambridge
- Agent Dirk Brinkman; Gene V. Vinokur
- Main IPC: G06K9/00
- IPC: G06K9/00
Abstract:
A method identifies an unknown face in an input image using reference images of known faces. A Haar-like feature vector is extracted from each image. The vectors are compressed. An L1 norm is determined between the compressed feature vector of the input image and each compressed feature vector from the set of reference images to determine a most similar reference image. The identity of the face associated with the most similar reference image is assigned as the identity of the unknown face in the input image.
Public/Granted literature
- US20100166266A1 Method for Identifying Faces in Images with Improved Accuracy Using Compressed Feature Vectors Public/Granted day:2010-07-01
Information query
