Camera distance from face images
Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt
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Camera distance from face images. / Flores, Arturo; Christiansen, Eric; Kriegman, David; Belongie, Serge.
I: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Nr. PART 2, 2013, s. 513-522.Publikation: Bidrag til tidsskrift › Konferenceartikel › Forskning › fagfællebedømt
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TY - GEN
T1 - Camera distance from face images
AU - Flores, Arturo
AU - Christiansen, Eric
AU - Kriegman, David
AU - Belongie, Serge
PY - 2013
Y1 - 2013
N2 - We present a method for estimating the distance between a camera and a human head in 2D images from a calibrated camera. Leading head pose estimation algorithms focus mainly on head orientation (yaw, pitch, and roll) and translations perpendicular to the camera principal axis. Our contribution is a system that can estimate head pose under large translations parallel to the camera's principal axis. Our method uses a set of exemplar 3D human heads to estimate the distance between a camera and a previously unseen head. The distance is estimated by solving for the camera pose using Effective Perspective n-Point (EPnP). We present promising experimental results using the Texas 3D Face Recognition Database.
AB - We present a method for estimating the distance between a camera and a human head in 2D images from a calibrated camera. Leading head pose estimation algorithms focus mainly on head orientation (yaw, pitch, and roll) and translations perpendicular to the camera principal axis. Our contribution is a system that can estimate head pose under large translations parallel to the camera's principal axis. Our method uses a set of exemplar 3D human heads to estimate the distance between a camera and a previously unseen head. The distance is estimated by solving for the camera pose using Effective Perspective n-Point (EPnP). We present promising experimental results using the Texas 3D Face Recognition Database.
UR - http://www.scopus.com/inward/record.url?scp=84888260266&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-41939-3_50
DO - 10.1007/978-3-642-41939-3_50
M3 - Conference article
AN - SCOPUS:84888260266
SP - 513
EP - 522
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
SN - 0302-9743
IS - PART 2
T2 - 9th International Symposium on Advances in Visual Computing, ISVC 2013
Y2 - 29 July 2013 through 31 July 2013
ER -
ID: 302046971