Image sequence augmentation using planar structures

Authors:
Juwan Kim;Dongkeun Kim
Affiliations:
Electronics and Telecommunications Research Institute, Daejeon, Korea;Division of Computer Engineering, Kongju National University, Chungnam, Korea
Venue:
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
Year:
2005

Citing 7
Cited 0

Self-Calibration and Metric Reconstruction Inspite of Varying and Unknown Intrinsic Camera Parameters

International Journal of Computer Vision - 1998 Marr Prize
A Flexible New Technique for Camera Calibration

IEEE Transactions on Pattern Analysis and Machine Intelligence
Recent Advances in Augmented Reality

IEEE Computer Graphics and Applications
Augmented Reality Camera Tracking with Homographies

IEEE Computer Graphics and Applications
Pose Estimation for Planar Structures

IEEE Computer Graphics and Applications
Automatic Camera Recovery for Closed or Open Image Sequences

ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Autocalibration from Planar Scenes

ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we present an image sequence augmentation that easily estimates camera parameters using a planar structure visible in an image sequence and superimposes 3D virtual objects on it. After constructing a virtual 3D model plane from the planar structure, we compute camera parameters recursively using the image of the absolute conic. Experimental results using simulated data and real data confirm that the proposed method is of clearly superior quality compared to that of traditional methods and performs better than existing ones. Our approach does not require any a priori information about the camera being used and metric coordinates in the scene. And the planar structure greatly simplifies the coordinate-system alignment problem, so the proposed method can easily be applied to cases where there is a planar surface visible somewhere in an image sequence and highest accuracy is not demanded.