IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical Model-Based Motion Estimation
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods
International Journal of Computer Vision
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
Automatic classification of digestive organs in wireless capsule endoscopy videos
Proceedings of the 2007 ACM symposium on Applied computing
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
A Class of Algorithms for Fast Digital Image Registration
IEEE Transactions on Computers
Imaging brain activation streams from optical flow computation on 2-riemannian manifolds
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Eigenmotion-based detection of intestinal contractions
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Real-time image composition of bladder mosaics in fluorescence endoscopy
Computer Science - Research and Development
A Database and Evaluation Methodology for Optical Flow
International Journal of Computer Vision
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We eliminate similar frames from a wireless capsule endoscopy video of the human intestines to maximize spatial coverage and minimize the redundancy in images. We combine an intensity correction method with a method based an optical flow and features to detect and reduce near-duplicate images acquired during the repetitive backward and forward egomotions due to peristalsis. In experiments, this technique reduced duplicate image of 52.3% from images of the small intestine.