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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shan An Xin Ma Rui Song Yibin Li |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Control Science and Engineering Shandong University 73 Jingshi Rd, Jinan, CHINA (Shan An; Xin Ma; Rui Song; Yibin Li) |
| Abstract | This paper describes a feature-based approach for face detection and recognition for human-robot interaction (HRI), which is capable of processing images rapidly and achieving high detection and recognition rates. The vision system on the mobile robot has to deal with difficult problems such as illumination changes, different facial expressions, and dynamic complex background. We apply an efficient method for detecting human face and extracting facial features for face recognition to solve the above problems. We locate the face region by employing some morphological steps after skin region detected. The face contour is obtained using an ellipse fitting method. Then we use SURF (Speeded-Up Robust Features) local descriptors to extract the features of elliptical face region. Finally, we match the query image with the database images and check the geometrical consistency. Experimental results with Caltech's face database show that our approach is able to detect and recognize different faces with different illumination/expressions/backgrounds rapidly and accurately. The results prove the usefulness of this algorithm in real-time face detection and recognition for human-robot interaction. |
| Starting Page | 1946 |
| Ending Page | 1951 |
| File Size | 1426853 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424447947 |
| DOI | 10.1109/ICAL.2009.5262624 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-05 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | human-robot interaction Image recognition Face recognition ellipse fitting Humans Spatial databases Face detection Mobile robots SURF Image databases Machine vision Lighting Facial features |
| Content Type | Text |
| Resource Type | Article |
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