Task directed, active vision techniques are beginning to produce vision systems capable of providing real-time depth perception for robots. The concepts of shallow disparity filters and coarse disparity segmentation show particular promise for several reasons: they require minimal correlation search, thus they are fast; they employ redundant measurements, so they are noise tolerant; and they ar...

PURPOSE The authors present a calibration method for a prototype proton computed tomography (pCT) scanner. The accuracy of these measurements depends upon careful calibration of the energy detector used to measure the residual energy of the protons that passed through the object. METHODS A prototype pCT scanner with a cesium iodide (CsI(Tl)) crystal calorimeter was calibrated by measuring the...

In this paper a new video coding by using multiple uncalibrated cameras is proposed. We consider the redundancy between the cameras view points and efficiently compress based on a depth map. Since our target videos are taken with uncalibrated cameras, our depth map is computed not in the real world but in the Projective Space. This is a virtual space defined by projective reconstruction of two ...

This work presents an approach to automatically create 3D thermal models using multi-perspective measurements with a multimodal camera system consisting of a thermal camera and a depth camera. Additional attributes such as color can also be added to the model. The paper centers its attention on the geometrical calibration of the cameras and the validation of the results. The design of an adequa...

In the last years, 3D-vision systems based on the time-of-flight (ToF) principle have gained more importance in order to obtain 3D information from the workspace. In this paper, an analysis of the use of 3D ToF cameras to guide a robot arm is performed. To do so, an adaptive method to simultaneous visual servo control and camera calibration is presented. Using this method a robot arm is guided ...

We have developed a new algorithm for \depth from defocusing" (or \depth from blurring") for recovering the depth of objects by measuring the amount of image blur. Compared to earlier algorithms, this method has the following advantages. It gives a unique estimate of depth. It has high accuracy at low computational costs. Easy calibration (only one unknown constant) These advantages are achieve...

This paper presents a neural-network based calibration method for measuring the 3D eye-gaze position in a stereoscopic display. The method is based on depth computation through local non-linear regression and interpolation using a parameterized self-organizing map (PSOM). A novel, efficient 3D calibration method for this application is introduced. We report an experiment in which we compare the...

The depth quality of a time-of-flight (ToF) camera is influenced by many systematic and non-systematic errors . In this paper we present a simple method to correct and reduce these errors and propose a multi-phase approach to improve the depth acquisition accuracy. Compared with traditional calibration methods, we take the position of light source into account, and calibrate the light source to...

The hope of coastal HyperSpectral Imaging (HSI) data is that it will provide the necessary data stream to simultaneously describe the atmospheric and water column optical properties. However, the success in achieving this goal is contingent upon the sensitivity and precision of the calibration of remote sensing instrumentation deployed. Building upon the progress achieved in the calibration of ...