the characteristics of Augmented Reality systems, including a detailed discussion of the tradeoffs between optical and video blending approaches. Registration and sensing errors are two of the biggest problems in building effective Augmented Reality systems, so this paper summarizes current efforts to overcome

The purpose of this chapter is to present a survey of recent publications concerning medical image registration techniques. These publications will be classified according to a model based on nine salient criteria, the main dichotomy of which is extrinsic versus intrinsic methods The statistics

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Abstract—An overview is presented of the medical image processing literature on mutual-information-based registration. The aim of the survey is threefold: an introduction for those new to the field, an overview for those working in the field, and a reference for those searching for literature on a

paper was published in Proceedings of SPIE 2008;6806 and is made available as an electronic preprint with permission of SPIE and IS&T. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

A penetrating analysis of our technical civilization and of the effect of an increasingly standardized culture on the future of man

object representations including modelbased localization, 3-D object recognition, real-time pose tracking and multi-modality sensor fusion. The research goals of this dissertation are the design, implementation and validation of fast and accurate methods for performing 3-D shape-based registration. Fast

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was established. Offline the optimal port placement is planned on a threedimensional virtual reconstruction of the patient's computed tomography scan. Using this planned data an accurate in-vivo port placement can be performed, which is achieved by augmented reality techniques superimposing virtual models

under virtual-reality (VR)-assisted image guidance that combines real-time ultrasound with a virtual model of tools, and the surgical environment acquired from pre-operative images. This paper presents preliminary results aimed at assessing the operator’s ability to accurately position and staple