Bundle Adjustment - A Modern Synthesis
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Multi-Image Matching Using Multi-Scale Oriented Patches
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Parameter-Free Radial Distortion Correction with Center of Distortion Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determining vision graphs for distributed camera networks using feature digests
EURASIP Journal on Applied Signal Processing
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Video Mosaics for Virtual Environments
IEEE Computer Graphics and Applications
Soft Tissue Tracking for Minimally Invasive Surgery: Learning Local Deformation Online
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Endoscopic Orientation Correction
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Real-Time endoscopic mosaicking
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
A non-linear multi-scale blending algorithm for fluorescence bladder images
Computer Science - Research and Development
Tracking feature points in uncalibrated images with radial distortion
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Reducing redundancy in wireless capsule endoscopy videos
Computers in Biology and Medicine
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Today, photodynamic diagnostics is commonly used in endoscopic intervention of the urinary bladder. Excited by a narrow band illumination, fluorescence markers enhance the visual contrast between benign and malignant tissue. Since in this modality the endoscope must be moved close to the bladder wall to provide sufficiently exposed images, the field of view (FOV) of the endoscope is very limited. This impedes the navigation and the re-identifying of multi-focal tumors for the physician. Thus, an image providing a larger FOV, composed from single images is highly desired during the intervention for surgery assistance. Since endoscopic mosaicking in real-time is still an open issue, we introduce a new feature-based image mosaicking algorithm for fluorescence endoscopy. Using a multi-threaded software design, the extraction of SURF features, the matching and the image stitching are separated in single processing threads. In an optimization step we discuss the trade-off between feature repeatability and processing time. After adjusting an optimal thread synchronization, the optimal workload of each thread results in a fast and real-time capable computation of image mosaics. On a standard hardware platform our algorithm performs within the RealTimeFrame framework with an update rate of 8.17 frames per second at full input image resolution (780脳576). Providing a fast growing image with an extended FOV during the intervention, the mosaic displayed on a second monitor promises high potential for surgery assistance.