Michael Keith Sutton

US Patent:

7133570, Nov 7, 2006

Filed:

Feb 6, 2003

Appl. No.:

10/359884

Inventors:

Hubert W. Schreier - Columbia SC, US
Michael A. Sutton - Columbia SC, US

Assignee:

Correlated Solutions, Inc. - West Columbia SC

International Classification:

G06K 9/64
G06K 9/32
G06K 9/68

US Classification:

382278, 382295

Abstract:

For an optical sensor, a simple approach to obtain a mapping function that transforms sensor coordinates of a generic imaging system to coordinates of a virtual, projective camera. The sensor plane of this virtual camera is established using a planar calibration object and does not require known features on the object. Two in-plane motions are sufficient to establish the distortion-free virtual camera. The sensor plane of the virtual projective camera is used to calibrate all subsequent images obtained by the optical sensor. For a generic sensor, the present method is a simple approach to obtain a mapping function that transforms sensor measurements into a virtual sensor system. The virtual sensor system is established using a uniform bias. The virtual sensor system is used to calibrate all subsequent measurements obtained by the sensor.

US Patent:

8248476, Aug 21, 2012

Filed:

Sep 3, 2009

Appl. No.:

12/553561

Inventors:

Michael A. Sutton - Columbia SC, US

Assignee:

University of South Carolina - Columbia SC

International Classification:

H04N 17/00

US Classification:

348187, 348180

Abstract:

A stereo calibration method is proposed to calibrate an interface's shape and position when the measurement system is in one media and measures deformation and strain of an object that is submerged in a different media. After the interface's shape and position are modeled by parameters, an explicit model of object points as measurement is established taking account of refraction happening at the interface. Efficiency and convergence are assured by using measurement of object points to acquire initial estimates for refraction angles at the interface. Then, an optimization method is performed to get the optimized value of interface parameters. Last, based on the resulting interface parameters, 3-dimensional positions of object points in all the subsequent measurement could be reconstructed accurately. Therefore, the distortion induced by refraction in the measurement is corrected. Numerical simulations of the proposed calibration process confirm that it is both robust and accurate for a range of experimental conditions, even in the presence of Gaussian noise in the measurement.

US Patent:

20100016711, Jan 21, 2010

Filed:

Jul 21, 2009

Appl. No.:

12/506521

Inventors:

Arash Kheradvar - Blythewood SC, US
Michael A. Sutton - Columbia SC, US

Assignee:

UNIVERSITY OF SOUTH CAROLINA - Columbia SC

International Classification:

A61B 5/05

US Classification:

600425

Abstract:

In accordance with one embodiment of the present disclosure, a method for deformation mapping of a tissue is provided. The method includes utilizing a device to measure transient three-dimensional deformations in a tissue sample. The device comprises a non-contacting, high-speed stereo imaging apparatus and a mechanism for digital image correlation. The method further includes identifying regions of the tissue that are prone to damage based upon the deformations.

US Patent:

20200408657, Dec 31, 2020

Filed:

Jun 11, 2020

Appl. No.:

16/899023

Inventors:

- COLUMBIA SC, US
ADDIS KIDAN - COLUMBIA SC, US
MICHAEL A. SUTTON - COLUMBIA SC, US

International Classification:

G01N 3/22

Abstract:

A hybrid experimental-numerical approach is disclosed to determine the Mixed Mode (I/III) dynamic fracture initiation toughness of engineering materials. Cylindrical Aluminum alloy specimens with a V-notch spiral crack on the surface at spiral angles of 0, 11.25, 22.5, 33.75, and 45 are subjected to dynamic torsion load using torsional Hopkinson bar apparatus. The torque applied to the specimen at the onset of fracture is measured through strain gages attached to the incident and transmitter bars. A stereo digital image correlation is performed to measure the full-field deformation, and the crack mouth opening displacement as a function of loading time and is used to estimate the time at which the crack initiation is started. The dynamic stress intensity factors are extracted numerically based on the dynamic interaction integral method using Abaqus. The Mode-I (K), Mode-III (K), and Mixed Mode (K) dynamic initiation toughness is presented as a function of spiral angles and loading rate.