Efficient Region Tracking With Parametric Models of Geometry and Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Bundle Adjustment - A Modern Synthesis
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Lucas-Kanade 20 Years On: A Unifying Framework
International Journal of Computer Vision
Visual Modeling with a Hand-Held Camera
International Journal of Computer Vision
Rigid motion constraints for tracking planar objects
Proceedings of the 29th DAGM conference on Pattern recognition
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In this work, we present a combined approach to tracking and reconstruction. An implicit feedback of 3d information to the tracking process is achieved by optimizing a single error function, instead of two separate steps. No assumptions about the error distribution of the tracker are needed in the reconstruction step either. This results in higher reconstruction accuracy and improved tracking robustness in our experimental evaluations. The approach is suited for online reconstruction and has a close to real-time performance on current computing hardware.