Introduction: A new method based on image registration technique and an intelligent correlation model to calculate. The present study aimed to propose inter- and intra-fraction motion errors in order to address the limitations of conventional Patient positioning methods. Material and Methods: The configuration of the markerless method wa...

In view of the insufficient characteristics and depth acquisition difficulties encountered in process uniocular vision measurement, posture measurement scheme tunneling equipment based on was proposed this study. The positioning coal mine monocular to extract environmental features match features, RANSAC algorithm used eliminate pair mismatching points. This done solve optimized matching realiz...

This report deals with the problem of determining independent contact regions on a 3D object boundary such that a seven finger frictionless grasp with a contact point in each region assures a force-closure grasp on the object, independently of the exact position of the contact points. These regions provide robustness in front of finger positioning errors in grasp and fixturing applications. The...

Visual Navigation is the key to enabling useful mobile robots to work autonomously in unmapped dynamic environments. It involves positioning a robot by tracking the world as it moves past a camera. This paper describes techniques we are developing to improve the accuracy of transformations calculated by matching sets of points between two views. This tells us how far the robot has moved. In the...

A procedure for interactive navigation of a fully motorized surgical microscope is presented. This procedure uses preoperative MRTor CT-images to generate a 3D-model of the patient which then acts as the basis for navigation during surgery. The relation between tracking system, microscope and 3D-model is established using a simple calibration method based on the Horn [Ho87] algorithm. It enable...

In this paper, we investigate the issue of accurate estimation of the three-dimensional (3D) coordinates of a static scene from real images, combining xation and stereo cues. We may need to compute 3D data in many applications: vehicle positioning and maneuver, object observation and recognition, moving or xed obstacle avoidance, 3D mapping for surveillance, etc. More speci cally, we discuss th...

This article is intended to provide an overview of various aspects of clinical PET/CT. These include discussions of: (i) Important areas of clinical application; (ii) Opportunities in clinical research; (iii) Scanner and operating-mode considerations (e.g. BGO vs. LSO, LYSO or GSO scanners, 2D vs. 3D imaging). (iv) Study-specific considerations (e.g. patient preparation and positioning is...