We introduce a method for determining the position and orientation of fixed dipole emitters based on a combination of polarimetry and spot shape detection. A key element is an effective Point Spread Function model based on Hermite functions. The model offers a good description of the shape variations with dipole orientation and polarization detection channel, and provides computational advantag...

A new ultrasound wireless positioning system is developed that gives the surgeon the exact 3D location and orientation of the instruments in the patient. The measuring system employs ultrasound markers/ transmitters placed on the instruments, outside of the human body. Knowing the dimensions of the usually rigid instruments it is possible to calculate their position and orientation inside the p...

This paper describes recent progress on Crosswatch, a smartphone-based computer vision system developed by the authors for providing guidance to blind and visually impaired pedestrians at traffic intersections. One of Crosswatch's key capabilities is determining the user's location (with precision much better than what is obtainable by GPS) and orientation relative to the crosswalk markings in ...

Many naturally occurring bioactive peptides bind to biological membranes. Studying and elucidating the mode of interaction is often an essential step to understand their molecular and biological functions. To obtain the complete orientation and immersion depth of such compounds in the membrane or a membrane-mimetic system, a number of methods are available, which are separated in this review in...

In this paper we propose a method for evaluating the dynamic blind spot of an operator of a construction vehicle by integrating static blind spot map of a construction vehicle with the head orientation of the operator. By computing the position and orientation of the equipment operator’s head, the field-of-view (FOV) of the operator is known which is projected on the blind spot map of the vehic...

Object recognition is the process of identifying and locating known objects in complex images. It includes extracting relevant features, grouping these features together, selecting an appropriate object model, and determining the pose (position and orientation) of the object in the scene. In earlier work, we have shown that fuzzy methods are appropriate for representing geometric relationships ...

This paper addresses the general problem of generating smooth trajectories between an initial and a nal position and orientation. A functional depending on velocity and its higher derivatives involving a left invariant Riemannian metric on SE(3) is used to measure the smoothness of a trajectory. The problem of determining a smooth trajectory between two points is formulated as a variational pro...

Binocular diierences in orientation and foreshortening are systematically related to surface slant and tilt and could potentially be exploited by biological and machine vision systems. Indeed, human stereopsis may possess a mechanism that speciically makes use of these orientation and spatial frequency disparities, in addition to the usual cue of horizontal disparity. In machine vision algorith...

Determining spinal geometry and in particular the position and orientation of the intervertebral disks is an integral part of nearly every spinal examination with Computed Tomography (CT) and Magnetic Resonance (MR) imaging. It is particularly important for the standardized alignment of the scan geometry with the spine. In this paper, we present a novel method that combines Marginal Space Learn...