Elizabeth H Edwards

20210072831, Mar 11, 2021

Sep 9, 2019

16/564914

- Santa Clara CA, US
Elizabeth T. Edwards - San Jose CA, US

G06F 3/01
G06F 3/0488
G06K 9/00
G02B 27/00

Disclosed is a method, system, and apparatus for configuring vehicle systems using gaze confirmed gesture commands. The method may include capturing, with at least one imaging system of a vehicle, image data depicting an occupant of the vehicle. The method may also include detecting a gaze of the occupant to a region of the vehicle depicted within the image data, detecting further comprises determining a user interface context for the region of the vehicle. Furthermore, the method may include detecting a motion command defining an input for configuring a vehicle system depicted within the image data. Additionally, the method may include executing the command to configure the vehicle system when the motion command defines an allowable input for the user interface context.

20180025472, Jan 25, 2018

Sep 21, 2017

15/711951

- San Mateo CA, US
Timothy Macmillan - La Honda CA, US
Elizabeth Torres Edwards - San Jose CA, US
Sumit Chawla - San Carlos CA, US

G06T 3/40

A pair of cameras having an overlapping field of view is aligned based on images captured by image sensors of the pair of cameras. A pixel shift is identified between the images. Based on the identified pixel shift, a calibration is applied to one or both of the pair of cameras. To determine the pixel shift, the camera applies correlation methods including edge matching. Calibrating the pair of cameras may include adjusting a read window on an image sensor. The pixel shift can also be used to determine a time lag, which can be used to synchronize subsequent image captures.

20170053392, Feb 23, 2017

Nov 7, 2016

15/345002

- San Mateo CA, US
Timothy Macmillan - La Honda CA, US
Elizabeth Torres Edwards - San Jose CA, US
Sumit Chawla - San Carlos CA, US

G06T 7/00
G06T 3/40
G06T 5/00

A pair of cameras having an overlapping field of view is aligned based on images captured by image sensors of the pair of cameras. A pixel shift is identified between the images. Based on the identified pixel shift, a calibration is applied to one or both of the pair of cameras. To determine the pixel shift, the camera applies correlation methods including edge matching. Calibrating the pair of cameras may include adjusting a read window on an image sensor. The pixel shift can also be used to determine a time lag, which can be used to synchronize subsequent image captures.

20150271398, Sep 24, 2015

Oct 22, 2014

14/521460

- San Mateo CA, US
Elizabeth Torres Edwards - San Jose CA, US
Ying Chen - Tianjin, CN

H04N 5/232
H04N 9/69
H04N 9/64
H04N 9/04

The conversion of RAW data captured by a camera can have artifacts in smoothness of various hues for varying chroma. To optimize smoothness and color accuracy, transform coefficients defining conversion of a standard color model to a target color model are determined. The RAW data is converted to data in a standard color model and the data in the standard color model is converted to data in the target color model using the transform coefficients. The process is repeated for various lightness levels and combined into a look up table to efficiently convert RAW data to data in the target color model for various lightness levels.