1st Edition
Visual Tracking in Conventional Minimally Invasive Surgery
By Shahram Payandeh
Copyright 2017
243 Pages
by
Chapman & Hall
243 Pages
218 B/W Illustrations
by
Chapman & Hall
243 Pages
218 B/W Illustrations
by
Chapman & Hall
Also available as eBook on:
Visual Tracking in Conventional Minimally Invasive Surgery introduces the various tools and methodologies that can be used to enhance a conventional surgical setup with some degree of automation. The main focus of this book is on methods for tracking surgical tools and how they can be used to assist the surgeon during the surgical operation. Various notions associated with... Read more
Introduction. Endoscope Setup and Calibration. Marker-Based Tracking. Marker-less Tracking: Gaussian Type. Marker-less
Tracking: Non-Gaussian Type. Reign-Based Tracking. Appendix A: Morphological operation and Neural Network. Appendix B:
Adaptive Gaussian Mixture Model. Appendix C: Overview of Particle Filter. Appendix D: Planar Homography. Appendix E:
Overview of Region Matching Approaches.
Tracking: Non-Gaussian Type. Reign-Based Tracking. Appendix A: Morphological operation and Neural Network. Appendix B:
Adaptive Gaussian Mixture Model. Appendix C: Overview of Particle Filter. Appendix D: Planar Homography. Appendix E:
Overview of Region Matching Approaches.
Biography
Shahram Payandeh runs the Networked Robotics and Sensing Laboratory in the School of Engineering Science at Simon Fraser University. The general theme of his research is in the area of tracking, reconstruction and visualization in a network of ambient sensors and cloud robotics. His research interests include robotics, geometrical robotics, networked dynamical systems, sensor network, multi-view tracking, haptic devices and haptic rendering, multi-modal interaction in serious games, and surgical robotics.
