In wireless camera networks, the communication load between cameras is a major concern for visual tracking. To save the bandwidth, traditional applications transfer the spatial coordinates under the precondition of camera calibration, which is computationally unreasonable for large and mobile camera networks. In this chapter, we exploit the use of distinctive and fast to compute local features ...

This paper describes an on-going work on the development and implementation of cellular automata based urban growth modeling using multitemporal satellite imagery. The algorithm is designed to simulate the historical growth as a function of local neighbourhood structure of the input data. Transition rules in the algorithm drive the urban growth over time. Calibration is introduced in the cellul...

Introduction: At very high magnetic field, strong B1 heterogeneities occur in human MR images as RF wavelength becomes equal to, or smaller than, the size of the imaged target, interacting with lossy and dielectric properties of biological tissues(1,2). Different RF Shim techniques can be used in order to mitigate B1 inhomogeneities, which have considerable differences in their respective hardw...

The ATLAS Muon Spectrometer is designed to measure the momentum of muons with a resolution of dp/p = 3% and 10 % at beam energies of 100 GeV and 1 TeV respectively. To do this, the spectrometer employs 355,000 Monitored Drift Tubes (MDTs) in 1200 Chambers. Calibration (RT) functions convert drift time measurements into tube-centered impact parameters for track segment reconstruction. RT functio...

Standard parametric approaches to camera calibration are unable to account for local distortions introduced by the imaging system. Such distortions may be present in catadioptric imaging systems where low precision mirrors are used. A planar grid was used as the calibration target, and by detecting the grid lines, the mapping between the distorted image captured by the camera and an undistorted...

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...

We present and contrast four methods for registering 3D range data to 2D images. Two are calibration techniques that recover the rigid transformation between the sensor poses, based on point or line correspondences. The two others recover a direct, image based mapping between the data sets. The accuracy of each method is experimentally evaluated on test patterns and objects. We found the point ...

We present a method of using an unmodified differential interference contrast microscope to acquire quantitative information on scatter and absorption of thin tissue samples. A simple calibration process is discussed that uses a standard optical wedge. Subsequently, we present a phase-stepping procedure for acquiring phase gradient information exclusive of absorption effects. The procedure resu...

Motivated by applications in surveillance sensor networks, we present a distributed algorithm for the automatic, external, metric calibration of a network of cameras with no centralized processor. We model the set of uncalibrated cameras as nodes in a communication network, and propose a distributed algorithm in which each camera only communicates with other cameras that image some of the same ...

The use of archival or historical photography for photogrammetric purposes often involves a lack of data concerning the aerial cameras employed, difficulties in identifying control points on the photos and inappropriate conservation of the photography. When camera calibration parameters are unknown, they should be estimated by means of a self-calibrating bundle adjustment. Several calibration m...