In Defense of the Eight-Point Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determining the Epipolar Geometry and its Uncertainty: A Review
International Journal of Computer Vision
Nonmetric Calibration of Wide-Angle Lenses and Polycameras
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Omnidirectional Vision: Theory and Algorithms
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Nonrigid registration of medical image by linear singular blending techniques
Pattern Recognition Letters
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Composite endoscope images from massive inner intestine photos
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Tracking and orientation modeling of capsule endoscope
ACS'06 Proceedings of the 6th WSEAS international conference on Applied computer science
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Examination inside an intestine by an endoscope is difficult and time consuming, because the whole image of the intestine cannot be taken at one time due to the limited field of view. Thus, it is necessary to generate a dissection image, which can be obtained by extending the image of an intestine. We acquire an annular image sequence with an omnidirectional or wide-angle camera, and then generate the dissection image by mosaicing the image sequence. Though usual mosaicing techniques transform an image by perspective or affine transformations, these are not suitable for our situation because the target object is a generalized cylinder and the camera motion is unknown a priori. Therefore, we propose a novel approach for image registration that deforms images by a two-dimensional-polynomial function which parameters are estimated from optical flow. We evaluated our method by registering annular image sequences and we successfully generated dissection images, as presented in this paper.