Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
Improving static and dynamic registration in an optical see-through HMD
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Artificial Intelligence - Special volume on computer vision
Superior augmented reality registration by integrating landmark tracking and magnetic tracking
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Technologies for augmented reality systems: realizing ultrasound-guided needle biopsies
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
IWAR '98 Proceedings of the international workshop on Augmented reality : placing artificial objects in real scenes: placing artificial objects in real scenes
Constrained self-calibration for augmented reality registration
IWAR '98 Proceedings of the international workshop on Augmented reality : placing artificial objects in real scenes: placing artificial objects in real scenes
A Two-Stage Robust Statistical Method for Temporal Registration from Features of Various Type
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
From Projective to Euclidean Space Under any Practical Situation, a Criticism of Self-Calibration
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
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We focus in this paper on the problem of adding computer-generated objects in video sequences that have been shot with a zoom lens camera. While numerous papers have been devoted to registration with fixed focal length, little attention has been brought to zoom lens cameras. In this paper, we propose an efficient two-stage algorithm for handling zoom changing which are are likely to happen in a video sequence. We first attempt to partition the video into camera motions and zoom variations. Then, classical registration methods are used on the image frames labeled camera motion while keeping the internal parameters constant, whereas the zoom parameters are only updated for the frames labeled zoom variations. Results are presented demonstrating registration on various sequences. Augmented video sequences are also shown.