Impact of undistortion and interpolation on fiber optic tracking
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
Viewpoint stabilization for live collaborative video augmentations
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
Endoscopic Orientation Correction
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Impact of undistortion and interpolation on fiber optic tracking
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
GPU-accelerated robotic intra-operative laparoscopic 3D reconstruction
IPCAI'10 Proceedings of the First international conference on Information processing in computer-assisted interventions
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This paper presents a unified framework for achieving robust and real-time image stabilization and rectification. While compensating for a small amount of image jitter due to platform vibration and hand tremble is not a very difficult task, canceling a large amount of image jitter, due to significant, long-range, and purposeful camera motion (such as panning, zooming, and rotation), is much more challenging. Our framework selectively compensates for unwanted camera motion to maintain a stable view of the scene. The rectified display has the same information content, but is shown in a much more operator-friendly way. Our contribution is threefold: (1) proposing a unified image rectification algorithm to cancel large and purposeful image motion to achieve a stable display that is applicable for both farfield and near-field image conditions, (2) improving the robustness and real-time performance of these algorithms with extensive validation on real images, and (3) illustrating the potential of these algorithms by applying them to real-world problems in diverse application domains.