2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2010
DOI: 10.1109/cvpr.2010.5540199
|View full text |Cite
|
Sign up to set email alerts
|

Direct image alignment of projector-camera systems with planar surfaces

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
11
0
1

Year Published

2012
2012
2016
2016

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 23 publications
(19 citation statements)
references
References 18 publications
0
11
0
1
Order By: Relevance
“…In order to improve the visual analysis, the additional information about the object's geometry is superimposed directly on the artifact by using a videoprojector (item 4). A simple camera (item 5) is used in a preprocess for the calibration [Audet et al 2010] and to locate the object and the camera with respect to the projector. This is done by calculating the projection matrices for the videoprojector and the camera from their respective intrinsic parameters.…”
Section: The Setupmentioning
confidence: 99%
“…In order to improve the visual analysis, the additional information about the object's geometry is superimposed directly on the artifact by using a videoprojector (item 4). A simple camera (item 5) is used in a preprocess for the calibration [Audet et al 2010] and to locate the object and the camera with respect to the projector. This is done by calculating the projection matrices for the videoprojector and the camera from their respective intrinsic parameters.…”
Section: The Setupmentioning
confidence: 99%
“…Successful applications include the removal of shadows cast by the speaker during a presentation, by means of multiple projectors [6], combining multiple projectors to create large display walls [7], projection defocus analysis and correction [8,9], manipulating one object's colour and texture to make it look like another [10], and real-time correction of the geometry of the projected image according to the underlying geometry of the projection surface [11]. Audet [2,3] recently proposed an alignment strategy for SAR based on 4-point parametrisation, suggested by Baker et al [12], template matching and Gauss-Newton optimisation of the homography parameters. A calibration procedure was employed to model the intrinsics of the projector and camera, colour mixing matrix and colour offset.…”
Section: Related Workmentioning
confidence: 99%
“…This naturally results in two approaches: (1) treating the projector as interference or (2) modelling the projected image. The latter approach requires a-priori information about the reflectance properties of the surface and ambient illumination, which is obtained by means of some calibration procedure, as demonstrated by Audet et al [2,3]. Here, tracking was done by template matching, which assumes some continuous motion between frames or an educated guess on the motion parameters.…”
Section: Introductionmentioning
confidence: 99%
“…Afin d'améliorer l'analyse visuelle de l'objet réel, des informations supplémentaires issues de l'analyse géométrique de l'objet sont projetées grâceà un vidéo-projecteur (item 4). La calibration du vidéo-projecteur avec l'objet réel est effectuée au préalable, en utilisant une simple caméra (item 5) [2].…”
Section: Le Matériel Utiliséunclassified