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Dennis W Strelow

from San Jose, CA
Age ~51
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Related to:
Brenda L WittgreveBeverly ScharineDale M Scharine, 78Daniel D Scharine, 47Lisa Lightbody, 41Dwayne A Sultzbaugh, 73Maureen A Scharine, 72Jody W Wittgreve, 51Dawn M Wittgreve, 49Melissa M Katzenmaier, 51
Connected to:
Christian Strelow, 48Derek P Strelow, 38Eric J Strelow, 58Greg Strelow, 64Julie A Strelow, 63Kimberly S Strelow, 69Lori M Strelow, 56Robert E Streltzoff, 84Fred J Strelzoff, 52Michael E Strem, 88

Dennis Strelow Phones & Addresses

  • 4970 Cherry Ave UNIT 212, San Jose, CA 95118 (408) 598-1929
  • Appleton, WI
  • Sunnyvale, CA
  • Bloomington, MN
  • Little Chute, WI
  • Pittsburgh, PA
  • Santa Clara, CA
  • Elkhart Lake, WI
  • 4970 Cherry Ave UNIT 212, San Jose, CA 95118

Work

Company: Google Apr 1, 2006 to Dec 31, 2016 Position: Senior software engineer

Education

Degree: Doctorates, Doctor of Philosophy School / High School: Carnegie Mellon University 1998 to 2004 Specialities: Computer Science

Skills

Computer Vision • Machine Learning • Research • Image Processing • C++ • Optimization • Computer Science • Software Engineering • Software Development • Parallel Computing • Algorithms • Programming

Languages

English

Industries

Computer Software

Resumes

Resumes

Dennis Strelow Photo 1

Computer Vision

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Location:
4970 Cherry Ave, San Jose, CA 95118
Industry:
Computer Software
Work:
Google Apr 1, 2006 - Dec 31, 2016
Senior Software Engineer
Magic Leap Apr 1, 2006 - Dec 31, 2016
Computer Vision
Honeywell Mar 2005 - Apr 2006
Senior Research Scientist
Quantapoint, Inc. Sep 1996 - Jun 1998
Software Engineer
National Center For Supercomputing Applications Jan 1996 - Aug 1996
Research Assistant
Education:
Carnegie Mellon University 1998 - 2004
Doctorates, Doctor of Philosophy, Computer Science University of Illinois at Urbana - Champaign 1994 - 1996
Master of Science, Masters, Computer Science University of Wisconsin - Madison 1990 - 1994
Bachelors, Bachelor of Science, Mathematics, Computer Science University of Nebraska - Lincoln 1993 - 1993
Appleton East High School
Skills:
Computer Vision
Machine Learning
Research
Image Processing
C++
Optimization
Computer Science
Software Engineering
Software Development
Parallel Computing
Algorithms
Programming
Languages:
English

Publications

Us Patents

Method And System For Navigation Of An Ummanned Aerial Vehicle In An Urban Environment

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US Patent:
7725257, May 25, 2010
Filed:
Sep 5, 2006
Appl. No.:
11/470134
Inventors:
Dennis W. Strelow - Sunnyvale CA, US
Alan B Touchberry - St. Louis Park MN, US
Assignee:
Honeywell International Inc. - Morristown NJ
International Classification:
G01C 21/00
US Classification:
701213, 348117
Abstract:
A method and system for navigation of an unmanned aerial vehicle (UAV) in an urban environment are provided. The method comprises capturing a first set of Global Positioning System (GPS)-tagged images in an initial fly-over of the urban environment at a first altitude, with each of the GPS-tagged images being related to respective GPS-aided positions. The captured GPS-tagged images are stitched together into an image mosaic using the GPS-aided positions. A second set of images is captured in a subsequent fly-over of the urban environment at a second altitude that is lower than the first altitude. Image features from the second set of images are matched with image features from the image mosaic during the subsequent fly-over. A current position of the UAV relative to the GPS-aided positions is calculated based on the matched image features from the second set of images and the image mosaic.

Method And System For Autonomous Vehicle Navigation

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US Patent:
7840352, Nov 23, 2010
Filed:
Sep 5, 2006
Appl. No.:
11/470120
Inventors:
Dennis W. Strelow - Sunnyvale CA, US
Alan B. Touchberry - St. Louis Park MN, US
Assignee:
Honeywell International Inc. - Morristown NJ
International Classification:
G01C 21/00
US Classification:
701214, 701220, 701213
Abstract:
A method and system are provided for autonomous vehicle navigation. In the method and system, one or more Global Positioning System (GPS) sensors, one or more inertial sensors, and one or more image sensors are provided on an autonomous vehicle. During operation of the autonomous vehicle, one or more GPS measurements, one or more inertial measurements, and one or more image measurements are obtained from the respective GPS sensors, inertial sensors, and image sensors. Each of the GPS measurements, inertial measurements, and image measurements are integrated together to estimate a position of the autonomous vehicle over time.

System And Method For Autonomous Object Tracking

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US Patent:
7907750, Mar 15, 2011
Filed:
Jun 12, 2006
Appl. No.:
11/423659
Inventors:
Kartik B. Ariyur - Minnetonka MN, US
Saad J. Bedros - West St. Paul MN, US
Dennis W. Strelow - Sunnyvale CA, US
Vassilios Morellas - Plymouth MN, US
Assignee:
Honeywell International Inc. - Morristown NJ
International Classification:
G06K 9/00
H04N 5/225
US Classification:
382103, 348169
Abstract:
A system for autonomous object tracking with static camera arrangements. Each camera arrangement may minimally have a pan-tilt-zoom camera and a range or depth sensor. Imaging may provide coordinates and depth information of a tracked object. Measurements of an image centroid position and width may be obtained with processing. Maintaining an image at the center of a camera screen may be attained at a pixel width of the image. Estimation and prediction of object size and position may be processed for providing pan, tilt and zoom rates for the camera. Pan, tilt and zoom latency may be accounted for in the system. There may be a number of camera arrangements where tracking of the object may be handed off by one camera arrangement to another.

Automatic Face Detection And Identity Masking In Images, And Applications Thereof

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US Patent:
8098904, Jan 17, 2012
Filed:
Mar 31, 2008
Appl. No.:
12/078464
Inventors:
Sergey Ioffe - Mountain View CA, US
Lance Williams - Mountain View CA, US
Dennis Strelow - Sunnyvale CA, US
Andrea Frome - Berkeley CA, US
Luc Vincent - Palo Alto CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06K 9/36
US Classification:
382118
Abstract:
A method and system of identity masking to obscure identities corresponding to face regions in an image is disclosed. A face detector is applied to detect a set of possible face regions in the image. Then an identity masker is used to process the detected face regions by identity masking techniques in order to obscure identities corresponding to the regions. For example, a detected face region can be blurred as if it is in motion by a motion blur algorithm, such that the blurred region can not be recognized as the original identity. Or the detected face region can be replaced by a substitute facial image by a face replacement algorithm to obscure the corresponding identity.

Method And System For Gps-Denied Navigation Of Unmanned Aerial Vehicles

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US Patent:
8315794, Nov 20, 2012
Filed:
Sep 5, 2006
Appl. No.:
11/470152
Inventors:
Dennis W. Strelow - Sunnyvale CA, US
Alan B. Touchberry - St. Louis Park MN, US
Assignee:
Honeywell International Inc. - Morristown NJ
International Classification:
G01C 21/00
G05D 3/00
US Classification:
701412, 701 2, 701 3, 701 23, 701468
Abstract:
A method and system for navigation of one or more unmanned aerial vehicles in an urban environment is provided. The method comprises flying at least one Global Positioning System (GPS)-aided unmanned aerial vehicle at a first altitude over an urban environment, and flying at least one GPS-denied unmanned aerial vehicle at a second altitude over the urban environment that is lower than the first altitude. The unmanned aerial vehicles are in operative communication with each other so that images can be transmitted therebetween. A first set of images from the GPS-aided unmanned aerial vehicle is captured, and a second set of images from the GPS-denied unmanned aerial vehicle is also captured. Image features from the second set of images are then matched with corresponding image features from the first set of images. A current position of the GPS-denied unmanned aerial vehicle is calculated based on the matched image features from the first and second sets of images.

Automatic Face Detection And Identity Masking In Images, And Applications Thereof

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US Patent:
8509499, Aug 13, 2013
Filed:
Nov 22, 2011
Appl. No.:
13/302634
Inventors:
Sergey Ioffe - Mountain Veiw CA, US
Lance Williams - Mountain Veiw CA, US
Dennis Strelow - Sunnyvale CA, US
Andrea Frome - Berkeley CA, US
Luc Vincent - Palo Alto CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06K 9/36
US Classification:
382118
Abstract:
A method and system of identity masking to obscure identities corresponding to face regions in an image is disclosed. A face detector is applied to detect a set of possible face regions in the image. Then an identity masker is used to process the detected face regions by identity masking techniques in order to obscure identities corresponding to the regions. For example, a detected face region can be blurred as if it is in motion by a motion blur algorithm, such that the blurred region can not be recognized as the original identity. Or the detected face region can be replaced by a substitute facial image by a face replacement algorithm to obscure the corresponding identity.

Method And Apparatus For Propagating High Resolution Detail Between Multimodal Data Sets

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US Patent:
20070104393, May 10, 2007
Filed:
Nov 10, 2005
Appl. No.:
11/271367
Inventors:
Dennis Strelow - Bloomington MN, US
Assignee:
Honeywell International Inc. - Morristown NJ
International Classification:
G06K 9/32
G06K 9/00
US Classification:
382299000, 382128000
Abstract:
The dataset describing an entity in a first modality and of a first, high resolution is used to enhance the resolution of a dataset describing the same entity in a second modality of a lower resolution. The two data sets of different modalities are spatially registered to each other. From this information, a joint histogram of the values in the two datasets is computed to provide a raw analysis of how the intensities in the first dataset correspond to intensities in the second dataset. This is converted into a joint probability of possible intensities for the missing pixels in the low resolution dataset as a function of the intensities of the corresponding pixels in the high-resolution dataset to provide a very rough estimate of the intensities of the missing pixels in the low resolution dataset. Then, an objective function is defined over the set of possible new values that gives preference to datasets consistent with (1) the joint probability distributions, (2) the existing values in the low resolution dataset, and (3) smoothness throughout the data set. Finally, an annealing or similar iterative method is used to minimize the objective function and find an optimal solution over the entire dataset.

Calibration Of Augmented Reality Device

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US Patent:
20210118401, Apr 22, 2021
Filed:
Nov 3, 2020
Appl. No.:
17/088498
Inventors:
- Plantation FL, US
Jean-Yves BOUGUET - Palo Alto CA, US
Divya SHARMA - San Jose CA, US
Lei HUANG - Fremont CA, US
Dennis William STRELOW - San Jose CA, US
Etienne Gregoire GROSSMANN - Menlo Park CA, US
Evan Gregory LEVINE - Mountain View CA, US
Adam HARMAT - Sunnyvale CA, US
Ashwin SWAMINATHAN - Dublin CA, US
Assignee:
Magic Leap, Inc. - Plantation FL
International Classification:
G09G 5/00
G06T 7/00
G06T 7/80
Abstract:
Techniques are described for calibrating a device having a first sensor and a second sensor. Techniques include capturing sensor data using the first sensor and the second sensor. The device maintains a calibration profile including a translation parameter and a rotation parameter to model a spatial relationship between the first sensor and the second sensor. Techniques include determining a calibration level associated with the calibration profile at a first time. Techniques include determining, based on the calibration level, to perform a calibration process. Techniques include performing the calibration process at the first time by generating one or both of a calibrated translation parameter and a calibrated rotation parameter and replacing one or both of the translation parameter and the rotation parameter with one or both of the calibrated translation parameter and the calibrated rotation parameter.
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Dennis W Strelow from San Jose, CA, age ~51 Get Report