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Search Publications by: Marek Franaszek (Fed)

Displaying 51 - 58 of 58

Gauging the Repeatability of 3D Imaging Systems by Sphere Fitting

September 30, 2009

Author(s)

Marek Franaszek, Geraldine S. Cheok, Kamel S. Saidi

Multiple scans of the same object acquired with 3D imaging system (e.g., laser scanner) in the same experimental conditions could provide valuable information about the instrument s performance (e.g., stability, existence of bias, measurement error)

Sensitivities and Variances for Fitted Parameters of Spheres

July 1, 2009

Author(s)

Christoph J. Witzgall, Marek Franaszek

Experimental data have been gathered by applying 3D imaging systems, such as LIDAR/LADAR instruments, to spherical objects. This report provides a compilation of the statistical and analytical procedures to be used for an evaluation, to be reported

Target Penetration of Laser-Based 3D Imaging Systems

January 19, 2009

Author(s)

Geraldine S. Cheok, Kamel S. Saidi, Marek Franaszek

The ASTM E57.02 Test Methods Subcommittee is developing a test method to evaluate the ranging performance of a 3D imaging system. The test method will involve either measuring the distance between two targets or between an instrument and a target. The

Proceedings of IS&T/SPIE 21st Annual Symposium on Electronic Imaging 2009 - 3D Imaging Metrology Conference

November 5, 2008

Author(s)

Geraldine S. Cheok, Kamel S. Saidi, Marek Franaszek

EFFECT OF SCANNING DENSITY ON THE ACCURACY OF LOCATING SPHERE CENTERS FOR REGISTRATION

April 9, 2008

Author(s)

Marek Franaszek

Applications for 3D imaging systems (e.g., laser scanners) have increased significantly in the past decade. Data from such systems often require registration. Spheres are often used for registration because they look the same from each direction and

Fast automatic registration of range images from 3D imaging systems using sphere targets

January 1, 2008

Author(s)

Marek Franaszek, Geraldine S. Cheok, Christoph J. Witzgall

3D imaging systems are line of sight instruments and multiple scans from different locations are often needed to get a good representation of an entire scene. Therefore, registration of different datasets to a common coordinate system is required

Auditory Nerve Fiber Modeling: A Stochastic Melnikov Approach.

May 1, 1998

Author(s)

Marek Franaszek, Emil Simiu

Well-known experiments have established two basic features of auditory nerve fiber dynamics. First, harmonic excitation with constant amplitude produces mean firing rates that are largest for excitation frequencies contained in a relatively narrow best

Application of Chaotic Dynamics to Stochastic Resonance.

August 7, 1996

Author(s)

Marek Franaszek, Emil Simiu

For a class of systems with a periodic signal and noise, the improvement of the signal to noise ratio (SNR) achieved by increasing the noise intensity is referred to as stochastic resonance (SR). We show that, for a class of multistable systems, a chotic

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