To access the full text documents, please follow this link: http://hdl.handle.net/2117/2750

Finding faces in color images through primitive shape features
Al, Murad; Orozco, Francisco J.; Amato, Ariel; Roca, Francesc Xavier; Gonzàlez, Jordi
Institut de Robòtica i Informàtica Industrial
Face detection is a primary step in many applications such as face recognition, video surveillance, human computer interface, and expression recognition. Many existing detection techniques suffer under scale variation, pose variation (frontal vs. profile), illumination changes, and complex backgrounds. In this paper, we present a robust and efficient method for face detection in color images. Skin color segmentation and edge detection are employed to separate all non-face regions from the candidate faces. Primitive shape features are then used to decide which of the candidate regions actually correspond to a face. The advantage of this method is its ability to achieve a high detection rate under varying conditions (pose, scale,...) with low computational cost.
Peer Reviewed
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
Computer vision
face detection
facial features
skin color
Visió per ordinador
Classificació INSPEC::Pattern recognition::Computer vision
info:eu-repo/semantics/conferenceObject
s. n.
         

Show full item record

Related documents

Other documents of the same author

Al, Murad; Amato, Ariel; Roca, Francesc Xavier; Gonzàlez, Jordi
Mozerov, Mikhail; Amato, Ariel; Al, Murad; Gonzàlez, Jordi
Amato, Ariel; Al, Murad; Mozerov, Mikhail; Gonzàlez, Jordi
Amato, Ariel; Al, Murad; Lladós, Josep; Gonzàlez, Jordi
Al, Murad; Amato, Ariel; Sánchez, Gemma; Gonzàlez, Jordi
 

Coordination

 

Supporters