2004
DOI: 10.1117/12.542208
|View full text |Cite
|
Sign up to set email alerts
|

<title>3D FaceCam: a fast and accurate 3D facial imaging device for biometrics applications</title>

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
8
0

Year Published

2005
2005
2020
2020

Publication Types

Select...
4
3
1

Relationship

0
8

Authors

Journals

citations
Cited by 14 publications
(8 citation statements)
references
References 0 publications
0
8
0
Order By: Relevance
“…Geng et al [8] have developed a method for rapid and accurate face recognition purposes, which uses a unique 3D camera (the 3D FaceCam) that combines multiple imaging sensors within a single compact device to provide instantaneous, ear-to-ear coverage of a human face. Thus, multiple 3D views are used to provide detailed and complete 3D coverage of the entire face.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Geng et al [8] have developed a method for rapid and accurate face recognition purposes, which uses a unique 3D camera (the 3D FaceCam) that combines multiple imaging sensors within a single compact device to provide instantaneous, ear-to-ear coverage of a human face. Thus, multiple 3D views are used to provide detailed and complete 3D coverage of the entire face.…”
Section: Related Workmentioning
confidence: 99%
“…a set of points that usually lie on the boundary of a 3D object, using one of several 3D point acquisition methods available (laser scanning, photogrammetry, CT scan) [3], and then process this point cloud to extract a CAD model of the object surface. The point cloud may be acquired for example with the use of a 3D laser scanner [6], or by identifying feature points on multi-camera images [8], [16], or even computerized tomography when it comes to medical applications [15], [20]. For processing the point cloud, various methods have been proposed, which include slicing the point cloud into cross-sections [15], or patches [19], or treating the point cloud as a whole [1].…”
Section: Introductionmentioning
confidence: 99%
“…No method for laser data accuracy analysis has yet emerged that is generally accepted [12], [13]. The accuracy of the resulting 3D models is especially difficult to estimate when the real shape of the object is unknown and the measuring equipment has not been previously calibrated.…”
Section: Accuracy Assessment Of the Modelling Processmentioning
confidence: 99%
“…Geng et al [10] have developed a method for rapid and accurate face recognition purposes, which uses a unique 3D camera (the 3D FaceCam) that combines multiple imaging sensors within a single compact device to provide instantaneous, ear-to-ear coverage of a human face. Thus, multiple 3D views are used to provide detailed and complete 3D coverage of the entire face.…”
Section: Boissonnat and Memarymentioning
confidence: 99%
“…laser scanning, photogrammetry or CT scan [8], and then process this point cloud to extract a CAD model of the object surface. For example, the point cloud may be acquired with the use of a 3D laser scanner [9], or by identifying feature points on multi-camera images [10,11], or even computerized tomography when it comes to medical applications [12,13]. For processing the point cloud, various methods have been proposed, which include slicing the point cloud into cross-sections [12], or patches [14], or treating the point cloud as a whole [15].…”
Section: Introductionmentioning
confidence: 99%