Jason E Meltzer

US Patent:

8451325, May 28, 2013

Filed:

Jan 24, 2010

Appl. No.:

12/692635

Inventors:

Daniel A. Birnbaum - Los Angeles CA, US
Jason T. Meltzer - Los Angeles CA, US

Assignee:

Sightcine Inc. - Los Angeles CA

International Classification:

H04N 9/31

US Classification:

348 53, 348 55, 348598

Abstract:

A disclosed projection system includes a display that renders a video representing a sequence of original images each having a corresponding frame interval, and one or more viewing device(s). During each frame interval, multiple subimages are displayed that, in some cases, average together to approximate an original image corresponding to that frame interval. The viewing device(s) attenuate each of the subimages by a respective coefficient to synthesize a target image for each frame interval. The system may include additional viewing device(s) that apply attenuation coefficients to the subimages to synthesize a second, different target image for each frame interval. A described projection method includes displaying multiple subimages in each frame interval, and transmitting attenuation coefficients to the viewing device(s). A disclosed movie customization system includes software that causes processor(s) to process each of multiple original video images to determine the corresponding subimages and weight coefficients.

US Patent:

20170105592, Apr 20, 2017

Filed:

Dec 23, 2016

Appl. No.:

15/389926

Inventors:

- Bedford MA, US
Jason Meltzer - Los Angeles CA, US
Jens-Steffen Gutmann - Cupertino CA, US
Vazgen Karapetyan - Pasadena CA, US
Mario E. Munich - La Canada CA, US

International Classification:

A47L 9/28
B25J 9/16
B25J 11/00
H02J 7/00
B25J 19/00
G05D 1/02
A47L 9/30
B25J 5/00
B25J 13/00

Abstract:

A mobile robot system is provided that includes a docking station having at least two pose-defining fiducial markers. The pose-defining fiducial markers have a predetermined spatial relationship with respect to one another and/or to a reference point on the docking station such that a docking path to the base station can be determined from one or more observations of the at least two pose-defining fiducial markers. A mobile robot in the system includes a pose sensor assembly. A controller is located on the chassis and is configured to analyze an output signal from the pose sensor assembly. The controller is configured to determine a docking station pose, to locate the docking station pose on a map of a surface traversed by the mobile robot and to path plan a docking trajectory.

US Patent:

20170032220, Feb 2, 2017

Filed:

Jul 28, 2015

Appl. No.:

14/811062

Inventors:

- Detroit MI, US
Jason Meltzer - Los Angeles CA, US
Jiejun Xu - Chino CA, US
Zhichao Chen - Woodland Hills CA, US
Rashmi N. Sundareswara - Los Angeles CA, US
David W. Payton - Calabasas CA, US
Ryan M. Uhlenbrock - Los Angeles CA, US
Leandro G. Barajas - Harvest AL, US
Kyungnam Kim - Oak Park CA, US

Assignee:

GM GLOBAL TECHNOLOGY OPERATIONS LLC - Detroit MI

International Classification:

G06K 9/62
G06T 7/00
G06T 7/20
G06K 9/46
G01B 11/00
G06T 3/00

Abstract:

A method for localizing and estimating a pose of a known object in a field of view of a vision system is described, and includes developing a processor-based model of the known object, capturing a bitmap image file including an image of the field of view including the known object, extracting features from the bitmap image file, matching the extracted features with features associated with the model of the known object, localizing an object in the bitmap image file based upon the extracted features, clustering the extracted features of the localized object, merging the clustered extracted features, detecting the known object in the field of view based upon a comparison of the merged clustered extracted features and the processor-based model of the known object, and estimating a pose of the detected known object in the field of view based upon the detecting of the known object.

US Patent:

20160143500, May 26, 2016

Filed:

Nov 20, 2015

Appl. No.:

14/947277

Inventors:

- Bedford MA, US
Jason Meltzer - Los Angeles CA, US
Jens-Steffen Gutmann - Cupertino CA, US
Vazgen Karapetyan - Pasadena CA, US
Mario E. Munich - La Canada CA, US

International Classification:

A47L 9/28
B25J 11/00
H02J 7/00
B25J 13/00
B25J 9/16
A47L 9/30
B25J 5/00
B25J 19/00

Abstract:

A mobile robot system is provided that includes a docking station having at least two pose-defining fiducial markers. The pose-defining fiducial markers have a predetermined spatial relationship with respect to one another and/or to a reference point on the docking station such that a docking path to the base station can be determined from one or more observations of the at least two pose-defining fiducial markers. A mobile robot in the system includes a pose sensor assembly. A controller is located on the chassis and is configured to analyze an output signal from the pose sensor assembly. The controller is configured to determine a docking station pose, to locate the docking station pose on a map of a surface traversed by the mobile robot and to path plan a docking trajectory.

US Patent:

20140100693, Apr 10, 2014

Filed:

Oct 5, 2013

Appl. No.:

14/046941

Inventors:

- Bedford MA, US
Jason Meltzer - Los Angeles CA, US
Steffen Gutmann - Cupertino CA, US
Vazgen Karapetyan - Pasadena CA, US
Mario E. Munich - La Canada CA, US

Assignee:

iRobot Corporation - Bedford MA

International Classification:

G05D 1/02

US Classification:

700253

Abstract:

A mobile robot system is provided that includes a docking station having at least two pose-defining fiducial markers. The pose-defining fiducial markers have a predetermined spatial relationship with respect to one another and/or to a reference point on the docking station such that a docking path to the base station can be determined from one or more observations of the at least two pose-defining fiducial markers. A mobile robot in the system includes a pose sensor assembly. A controller is located on the chassis and is configured to analyze an output signal from the pose sensor assembly. The controller is configured to determine a docking station pose, to locate the docking station pose on a map of a surface traversed by the mobile robot and to path plan a docking trajectory.