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Pierre Puget

dblp:64/684 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 1992
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 3 first-authorSystems, architecture and hardware · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
3D vision · 100%
Computer graphics and multimedia
1 paper
Geometric modeling and processing · 50% Image and video processing · 50%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
camera calibration
0.021990
An optimal solution for mobile camera calibration · ICRA 1990
An Optimal Solution for Mobile Camera Calibration · ECCV 1990
Geometric modeling and processing
3d reconstruction
0.011992
Measurement and integration of 3-D structures by tracking edge lines · Int. J. Comput. Vis. 1992
Image and video processing › edge detection
edge tracing
0.011992
Measurement and integration of 3-D structures by tracking edge lines · Int. J. Comput. Vis. 1992
Computer vision › 3D vision › camera calibration
intrinsic and extrinsic parameter estimation
0.011990
An optimal solution for mobile camera calibration · ICRA 1990

Methods — techniques the papers use, named apart from their topics

edge line tracking · 0.0mean-square error minimization · 0.0closed-form solution · 0.0
YearPublicationVenuePosition
1992 Measurement and integration of 3-D structures by tracking edge lines
James L. Crowley, Patrick Stelmaszyk, Thomas Skordas, Pierre Puget
Int. J. Comput. Vis.4
1990 An Optimal Solution for Mobile Camera Calibration
Pierre Puget, Thomas Skordas
ECCV1
1990 An optimal solution for mobile camera calibration
abstract
The problem of determining the intrinsic and extrinsic parameters of a mobile camera is addressed. An optimal solution which consists of the following steps is presented. First, the camera is calibrated in several working positions and, for each position, the corresponding transformation matrix is computed using a method developed by O.D. Faugeras and G. Toscani (1987). Next, optimal intrinsic parameters are searched for all positions. Finally, for each separate position, optimal extrinsic parameters are computed by minimizing a mean square error through a closed-form solution. Experimental results show that such a technique yields a very large reduction of calibration errors and a considerable gain relative to other existing on-site calibration techniques.>
Pierre Puget, Thomas Skordas
ICRA1
1990 Calibrating a mobile camera
Pierre Puget, Thomas Skordas
Image Vis. Comput.1