Bidirectional composition on Lie groups for gradient-based image alignment
IEEE Transactions on Image Processing
Evaluation of Interest Point Detectors and Feature Descriptors for Visual Tracking
International Journal of Computer Vision
Simultaneous reconstruction and tracking of non-planar templates
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
An experimental framework for evaluating PTZ tracking algorithms
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
Interactive robot trajectory planning and simulation using Augmented Reality
Robotics and Computer-Integrated Manufacturing
Augmented Reality: Handheld Augmented Reality involving gravity measurements
Computers and Graphics
Improving NCC-based direct visual tracking
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Indoor localization using SLAM in parallel with a natural marker detector
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Evaluation of two-view geometry methods with automatic ground-truth generation
Image and Vision Computing
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Unlike dense stereo, optical flow or multi-view stereo, template-based tracking lacks benchmark datasets allowing a fair comparison between state-of-the-art algorithms. Until now, in order to evaluate objectively and quantitatively the performance and the robustness of template-based tracking algorithms, mainly synthetically generated image sequences were used. The evaluation is therefore often intrinsically biased.