Search

Jeff B Pelz

from Rochester, NY
Age ~68
Get Report
Also known as:
Feff B Pelz, Jeffrey B Pelz, Jeff B Jeff
Phone and address:
97 Beckwith Ter, Rochester, NY 14610
(585) 281-6881
Related to:
Teresa K Bowles, 49Patricia CampbellPatrick CampbellHeather M Campbell, 49Myra Pelz, 73Celia Campbell, 80
Connected to:
Adam L Pelz, 45Alison K Pelz, 51Amy R Pelz, 49Anthony L Pelz, 48Cheryl L Pelz, 71Corey J Pelz, 54David T Pelz, 85Holly E Pelz, 33Kathleen M Pelz, 60Kristen Pelz, 68

Jeff Pelz Phones & Addresses

  • 97 Beckwith Ter, Rochester, NY 14610 (585) 281-6881
  • Monterey, MA
  • Cambridge, MA
  • Middletown, CT
  • 23 Hadley Ct, Pittsford, NY 14534 (585) 383-1177 (716) 586-6955 (315) 383-1177
  • Fort Yates, ND

Work

Company: Rochester institute of technology Position: Professor

Education

Degree: PhD School / High School: University of Rochester 1990 to 1995 Specialities: Brain and Cognitive Science

Skills

Image Processing • Computer Vision • Matlab • Digital Image Processing • Signal Processing • Pattern Recognition • Eye Tracking • Algorithms • Experimentation • Optics • Image Analysis • Sensors • Simulations • Machine Learning • Mathematical Modeling • Digital Imaging • Cognitive Science • Experimental Design • Human Computer Interaction • R • Research Design • Science

Industries

Higher Education

Resumes

Resumes

Jeff Pelz Photo 1

Professor At Rochester Institute Of Technology

View page
Location:
46 Lomb Memorial Dr, Rochester, NY 14623
Industry:
Higher Education
Work:
Rochester Institute of Technology
Professor
Education:
University of Rochester 1990 - 1995
PhD, Brain and Cognitive Science Rochester Institute of Technology 1980 - 1986
MS, Imaging and Photographic Science Rochester Institute of Technology 1975 - 1979
BFA, Photographic Illustration
Skills:
Image Processing
Computer Vision
Matlab
Digital Image Processing
Signal Processing
Pattern Recognition
Eye Tracking
Algorithms
Experimentation
Optics
Image Analysis
Sensors
Simulations
Machine Learning
Mathematical Modeling
Digital Imaging
Cognitive Science
Experimental Design
Human Computer Interaction
R
Research Design
Science

Publications

Us Patents

Method And System For Reducing Noise In A Digital Image And Apparatus Thereof

View page
US Patent:
7324143, Jan 29, 2008
Filed:
Apr 7, 2000
Appl. No.:
09/545577
Inventors:
Jeff B. Pelz - Pittsford NY, US
Assignee:
Rochester Institute of Technology - Rochester NY
International Classification:
H04N 5/217
US Classification:
348241
Abstract:
A method for reducing noise in a digital image includes providing a digital image comprising a plurality of channels with each of the channels comprising a set of pixel data signals and applying a filter to each of the sets of pixel data signals, where the filter applied to at least one of the sets of pixel data signals is different from the filter applied to another one of the sets of pixel data signals. An imaging system which reduce noise in a digital image includes an image sensor apparatus and a filter system. The image sensor apparatus captures a digital image comprising a plurality of channels with each of the channels comprising a set of pixel data signals. The filter system comprises at least two different filters with each of the filters filtering at least one of the sets of pixel data signals for one of the channels. The filter applied to at least one of the sets of pixel data signals is different from the filter applied to another one of the sets of pixel data signals.

Systems And Methods For Improving Visual Discrimination

View page
US Patent:
7549743, Jun 23, 2009
Filed:
Jan 6, 2006
Appl. No.:
11/794883
Inventors:
Krystel R. Huxlin - Rush NY, US
Mary M. Hayhoe - Austin TX, US
Jeff B. Pelz - Pittsford NY, US
Assignee:
University of Rochester - Rochester NY
International Classification:
A61B 3/00
US Classification:
351203, 351246
Abstract:
A system and method for retraining the visual system of a subject with damage to the striate and/or extrastriate visual cortex includes displaying a visual stimulus within a first location of an impaired visual field of the subject; and detecting the subject's perception of an attribute of the visual stimulus. The system and method are believed to effectively recruit undamaged higher level structures in the visual system to assume the functions of the damaged structures.

Methods For Assisting With Object Recognition In Image Sequences And Devices Thereof

View page
US Patent:
20120328150, Dec 27, 2012
Filed:
Mar 22, 2012
Appl. No.:
13/427519
Inventors:
Jeff B. Pelz - Pittsford NY, US
Thomas B. Kinsman - Penfield NY, US
Daniel F. Pontillo - East Syracuse NY, US
Susan M. Munn - Billerica MA, US
Nicholas R. Harrington - Mason OH, US
Brendon Ben-Kan Hsieh - Cincinnati OH, US
Assignee:
ROCHESTER INSTITUTE OF TECHNOLOGY - Rochester NY
International Classification:
G06K 9/62
US Classification:
382103
Abstract:
A method, non-transitory computer readable medium, and apparatus that assist with object recognition includes determining when at least one eye of an observer fixates on a location in one or more of a sequence of fixation tracking images. The determined fixation location in the one or more of the sequence of fixation tracking images is correlated to a corresponding one of one or more sequence of field of view images. At least the determined fixation location in each of the correlated sequence of field of view images is classified based on at least one of a classification input or a measurement and comparison of one or more features of the determined fixation location in each of the correlated sequence of field of view images against one or more stored measurement feature values. The determined classification of the fixation location in each of the correlated sequence of field of view images is output.

Image System Evaluation Method And Apparatus Using Eye Motion Tracking

View page
US Patent:
6381339, Apr 30, 2002
Filed:
Jan 9, 1998
Appl. No.:
09/005108
Inventors:
Winton Emery Brown - Rochester NY, 14618
Jeff Bennett Pelz - Pittsford NY, 14534
C. Andrew Hilgartner - Kirksville MO, 63501
International Classification:
G06K 900
US Classification:
382100, 382103
Abstract:
Image systems are compared and evaluated using an eyetracking apparatus. An observer views images made with different image systems. The eyetracking apparatus records the horizontal and vertical gaze position as a function of time. The observers judgments for one image system are compared to results for another image system.

System And Method For Eye Tracking

View page
US Patent:
20200320718, Oct 8, 2020
Filed:
May 26, 2017
Appl. No.:
16/304556
Inventors:
Jeff B. Pelz - Pittsford NY, US
Dan Witzner Hansen - Olstykke, DK
Assignee:
Rochester Institute of Technology - Rochester NY
International Classification:
G06T 7/246
G06T 7/215
Abstract:
A method and system for monitoring the motion of one or both eyes, includes capturing a sequence of overlapping images of a subject's face including an eye and the corresponding non-eye region; identifying a plurality of keypoints in each image; mapping corresponding keypoints in two or more images of the sequence; assigning the keypoints to the eye and to the corresponding non-eye region; calculating individual velocities of the corresponding keypoints in the eye and the corresponding non-eye region to obtain a distribution of velocities; extracting at least one velocity measured for the eye and at least one velocity measured for the corresponding non-eye region; calculating the eye-in-head velocity for the eye based upon the measured velocity for the eye and the measured velocity for the corresponding non-eye region; and calculating the eye-in-head position based upon the eye-in-head velocity.

Methods For Enhancing Perception Of Image Quality At Capture Using Gaze Detection And Devices Thereof

View page
US Patent:
20140160340, Jun 12, 2014
Filed:
Dec 11, 2013
Appl. No.:
14/103551
Inventors:
Susan P. Farnand - Fairport NY, US
Jeff B. Pelz - Pittsford NY, US
Assignee:
ROCHESTER INSTITUTE OF TECHNOLOGY - Rochester NY
International Classification:
H04N 5/232
US Classification:
34833311
Abstract:
The method enhances the perceived quality of the main subject matter in an image at capture by determining where in the scene the photographer is looking using gaze-tracking technology. The device includes an image management computing device coupling a processor, memory, input and display device interface, optional network interface device, and camera directed at the photographer as well as the scene.
Control profile
Jeff B Pelz from Rochester, NY, age ~68 Get Report