@inproceedings{364ff5476ebc4224922ad50872776979,
title = "Real-time endoscopic mosaicking",
abstract = "With the advancement of minimally invasive techniques for surgical and diagnostic procedures, there is a growing need for the development of methods for improved visualization of internal body structures. Video mosaicking is one method for doing this. This approach provides a broader field of view of the scene by stitching together images in a video sequence. Of particular importance is the need for online processing to provide real-time feedback and visualization for image-guided surgery and diagnosis. We propose a method for online video mosaicking applied to endoscopic imagery, with examples in microscopic retinal imaging and catadioptric endometrial imaging.",
author = "Sharmishtaa Seshamani and William Lau and Gregory Hager",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 9th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2006 ; Conference date: 01-10-2006 Through 06-10-2006",
year = "2006",
doi = "10.1007/11866565_44",
language = "English (US)",
isbn = "3540447075",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "355--363",
booktitle = "Medical Image Computing and Computer-Assisted Intervention, MICCAI 2006 - 9th International Conference, Proceedings",
}