K. Yow, R. Cipolla, Scale and orientation invariance in human face detection, in: Proc. 7th British Machine Vision Conference, 1996, pp. 745-754. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
Face detection by aggregated Bayesian network classifiers - Pham, Worring, Smeulders (2001) (Correct)
....appearance based detection. In the model based approach, various types of facial attributes such as the eyes, the nose and the corner of the mouth are detected by a deformable geometrical model. By grouping the facial attributes based on their known geometrical relationships, faces are detected [1,2]. A drawback of this approach is the detection of facial attributes is not reliable [1] which leads to systems that are not robust against varying facial expressions and presence of other devices. This approach is better suited for facial expression recognition as opposed to face detection. ....
K. Yow, R. Cipolla, Scale and orientation invariance in human face detection, in: Proc. 7th British Machine Vision Conference, 1996, pp. 745-754.
Face Detection by Aggregated Bayesian Network Classifiers - Pham, Worring, Smeulders (2001) (Correct)
....appearance based detection. In the model based approach, various types of facial attributes such as the eyes, the nose and the corner of the mouth are detected by a deformable geometrical model. By grouping the facial attributes based on their known geometrical relationships, faces are detected [6, 16]. A drawback of this approach is the detection of facial attributes is not reliable [6] which leads to systems that are not robust against varying facial expressions and presence of other devices. This approach is better suited for facial expression recognition as opposed to face detection. ....
K.C. Yow and R. Cipolla. Scale and orientation invariance in human face detection. In Proceedings 7th British Machine Vision Conference, pages 745-754, 1996. Fig. 7. Output of the system on some images of the CMU test set [10]. MFs is the number of missed faces and FDs is the number of false detections
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC