Options
2017
Conference Paper
Titel
Efficient pose selection for interactive camera calibration
Abstract
The choice of poses for camera calibration with planar patterns is only rarely considered - yet the calibration precision heavily depend on it. This work presents a pose selection method that explicitly avoids singular pose configurations which would lead to an unreliable solution. Consequently camera poses are favoured that reduce the uncertainty of the calibration parameters most. For this purpose the quality of the calibration parameters is continuously estimated using uncertainty propagation. Our approach performs better than comparable solutions while requiring 30% less calibration frames.
Tags
-
artificial intelligence (AI)
-
Vision understanding
-
scene understanding
-
modeling of physical attributes
-
recovery of physical attribute
-
pattern recognition
-
implementation
-
interactive system
-
Lead Topic: Digitized Work
-
Lead Topic: Individual Health
-
Lead Topic: Smart City
-
Lead Topic: Visual Computing as a Service
-
Research Line: Computer vision (CV)
-
Research Line: Human computer interaction (HCI)