Max Terry Hall

US Patent:

20090103050, Apr 23, 2009

Filed:

Sep 9, 2008

Appl. No.:

12/206974

Inventors:

Richard J. Michaels - Irvine CA, US
Max Hall - Corona CA, US
Diego Cueto - Monarch Beach CA, US
T. Scott Rowe - Dana Point CA, US
Thomas Padrick - Seattle WA, US

Assignee:

WaveTec Vision Systems, Inc. - Aliso Viejo CA

International Classification:

A61B 3/15
A61B 3/10

US Classification:

351208, 351205, 351211, 351246

Abstract:

An ophthalmic apparatus for precisely positioning an optical instrument, such as a wavefront aberrometer, in three dimensions with respect to a patient's eye. The ophthalmic apparatus may include an optical instrument directed in a first direction toward a target area to receive light therefrom and a camera directed in a second direction toward the target area to receive light therefrom, the first and second directions being non-parallel. The camera may include imaging optics to form an optical image on a photodetector array using light reflected from the target area. The ophthalmic apparatus may also include a processor configured to correlate a position of the optical image on the photodetector array with the distance between the optical instrument and the target area.

US Patent:

20110007270, Jan 13, 2011

Filed:

Jul 2, 2010

Appl. No.:

12/830221

Inventors:

Edwin Jay Sarver - Carbondale IL, US
Thomas D. Padrick - Seattle WA, US
Max Hall - Corona CA, US

International Classification:

A61B 3/14

US Classification:

351206, 351246

Abstract:

A system and method for determining an objective quality metric for image data collected by a wavefront aberrometer. The method may include quantifying a plurality of characteristics of the image data and calculating the objective quality metric based on the quantified characteristics of the image data. The objective quality metric can be a weighted sum of the quantified characteristics of the image data. The weightings for the weighted sum can be determined based on subjective quality metrics assigned to a set of training image data by a human expert.

US Patent:

20130070203, Mar 21, 2013

Filed:

Sep 14, 2012

Appl. No.:

13/620593

Inventors:

Richard J. Michaels - Irvine CA, US
Max Hall - Corona CA, US
Diego Cueto - Monarch Beach CA, US
T. Scott Rowe - Dana Point CA, US
Thomas Padrick - Seattle WA, US

Assignee:

WAVETEC VISION SYSTEMS, INC. - Aliso Viejo CA

International Classification:

A61B 3/103
A61B 3/15

US Classification:

351208, 351246

Abstract:

An ophthalmic apparatus for precisely positioning an optical instrument, such as a wavefront aberrometer, in three dimensions with respect to a patient's eye. The ophthalmic apparatus may include an optical instrument directed in a first direction toward a target area to receive light therefrom and a camera directed in a second direction toward the target area to receive light therefrom, the first and second directions being non-parallel. The camera may include imaging optics to form an optical image on a photodetector array using light reflected from the target area. The ophthalmic apparatus may also include a processor configured to correlate a position of the optical image on the photodetector array with the distance between the optical instrument and the target area.

US Patent:

20220218197, Jul 14, 2022

Filed:

Apr 21, 2021

Appl. No.:

17/236908

Inventors:

- Fribourg, CH
Max Hall - Bradenton FL, US

International Classification:

A61B 3/103
A61B 3/16
G06T 7/00
G06T 5/00

Abstract:

Certain aspects of the present disclosure provide a system for processing image data from an intraoperative diagnostic device in real-time during an ophthalmic procedure. The system comprises an image capture element that captures a grayscale image of a first size and an image processing element that scales the grayscale image from the first size to a second size. The system also comprises a two-stage classification model comprising: a feature extraction stage to process the scaled grayscale image and generate a feature vector based on the scaled grayscale image and a classification stage to process the feature vector and generate an output vector. The image processing element is further configured to determine an image quality of the obtained grayscale image based on the output vector for display to an operator and the image quality of the obtained grayscale image indicates a probability that the obtained grayscale image includes an artifact.

US Patent:

20190244623, Aug 8, 2019

Filed:

Aug 3, 2018

Appl. No.:

16/053922

Inventors:

Max T. Hall - Bradenton FL, US
Edwin J. Sarver - Cookesville TN, US

International Classification:

G10L 17/26
G10L 15/00
G06F 17/27
G10L 19/02
G06T 13/40
G06T 15/00

Abstract:

A method to interactively convert a source language video/audio stream into one or more target languages in high definition video format using a computer. The spoken words in the converted language are synchronized with synthesized movements of a rendered mouth. Original audio and video streams from pre-recorded or live sermons are synthesized into another language with the original emotional and tonal characteristics. The original sermon could be in any language and be translated into any other language. The mouth and jaw are digitally rendered with viseme and phoneme morphing targets that are pre-generated for lip synching with the synthesized target language audio. Each video image frame has the simulated lips and jaw inserted over the original. The new audio and video image then encoded and uploaded for internee viewing or recording to a storage medium.

US Patent:

20150157200, Jun 11, 2015

Filed:

Nov 3, 2014

Appl. No.:

14/531926

Inventors:

- Aliso Viejo CA, US
Thomas D. Padrick - Seattle WA, US
Max Hall - Corona CA, US

International Classification:

A61B 3/00
A61B 3/10

Abstract:

A system and method for determining an objective quality metric for image data collected by a wavefront aberrometer. The method may include quantifying a plurality of characteristics of the image data and calculating the objective quality metric based on the quantified characteristics of the image data. The objective quality metric can be a weighted sum of the quantified characteristics of the image data. The weightings for the weighted sum can be determined based on subjective quality metrics assigned to a set of training image data by a human expert.