Calvin K Chan

20180077044, Mar 15, 2018

Sep 8, 2017

15/699451

- San Mateo CA, US
Joe Ross - San Mateo CA, US
Eyal Ophir - Mountain View CA, US
Calvin Chan - San Mateo CA, US

H04L 12/26
G06F 11/30
G06F 11/34

An instrumentation analysis system processes data streams received from servers executing instrumented software. The system determines a set of servers that satisfy a given criteria, for example, a set of servers with high resource utilization. The set of servers may be determined by the system based on triggers or specified by a user. The system analyzes properties of servers to determine a property that characterizes the set of servers. The property characterizing the servers is provided to users via a user interface or alerts for further analysis, for example, to analyze the cause of high resource utilization.

20160343172, Nov 24, 2016

Aug 3, 2016

15/227453

- Redmond WA, US
Paul Barham - San Francisco CA, US
Michael Isard - San Francisco CA, US
Tuan Wong - Bellevue WA, US
Kevin Woo - Redmond WA, US
Georg Klein - Seattle WA, US
Douglas Kevin Service - Bothell WA, US
Ashraf Ayman Michail - Kirkland WA, US
Andrew Pearson - Redmond WA, US
Martin Shetter - Bellevue WA, US
Jeffrey Neil Margolis - Seattle WA, US
Nathan Ackerman - Seattle WA, US
Calvin Chan - Bellevue WA, US
Arthur C. Tomlin - Kirkland WA, US

MICROSOFT TECHNOLOGY LICENSING, LLC - Redmond WA

G06T 19/00
G06K 9/66
G02B 27/01
G09G 3/3208
G06T 3/20
G06F 3/01
G06T 7/40
G06K 9/62

Methods for generating and displaying images associated with one or more virtual objects within an augmented reality environment at a frame rate that is greater than a rendering frame rate are described. The rendering frame rate may correspond with the minimum time to render images associated with a pose of a head-mounted display device (HMD). In some embodiments, the HMD may determine a predicted pose associated with a future position and orientation of the HMD, generate a pre-rendered image based on the predicted pose, determine an updated pose associated with the HMD subsequent to generating the pre-rendered image, generate an updated image based on the updated pose and the pre-rendered image, and display the updated image on the HMD. The updated image may be generated via a homographic transformation and/or a pixel offset adjustment of the pre-rendered image.

20150029218, Jan 29, 2015

Jul 25, 2013

13/951351

Oliver Michael Christian Williams - San Francisco CA, US
Paul Barham - San Francisco CA, US
Michael Isard - San Francisco CA, US
Tuan Wong - Bellevue WA, US
Kevin Woo - Redmond WA, US
Georg Klein - Seattle WA, US
Douglas Kevin Service - Bothell WA, US
Ashraf Ayman Michail - Kirkland WA, US
Andrew Pearson - Redmond WA, US
Martin Shetter - Bellevue WA, US
Jeffrey Neil Margolis - Seattle WA, US
Nathan Ackerman - Seattle WA, US
Calvin Chan - Bellevue WA, US
Arthur C. Tomlin - Kirkland WA, US

G06T 19/00
G02B 27/01

345633

Methods for generating and displaying images associated with one or more virtual objects within an augmented reality environment at a frame rate that is greater than a rendering frame rate are described. The rendering frame rate may correspond with the minimum time to render images associated with a pose of a head-mounted display device (HMD). In some embodiments, the HMD may determine a predicted pose associated with a future position and orientation of the HMD, generate a pre-rendered image based on the predicted pose, determine an updated pose associated with the HMD subsequent to generating the pre-rendered image, generate an updated image based on the updated pose and the pre-rendered image, and display the updated image on the HMD. The updated image may be generated via a homographic transformation and/or a pixel offset adjustment of the pre-rendered image.