公开(公告)号：US11314321B2

公开(公告)日：2022-04-26

申请号：US16922311

申请日：2020-07-07

Applicant: Microsoft Technology Licensing, LLC

Inventor： Drew Steedly ,  Michael Edward Samples ,  Alexandru Octavian Balan ,  William Douglas Guyman ,  Vuk Jovanovic ,  Taras Khapko ,  Ivan Razumenic ,  Vladimir Carapic ,  Martin Thomas Shetter ,  Jelena Mojasevic ,  Andrew C. Goris ,  Marko Bezulj

IPC: A63F13/211 ,  A63F13/212 ,  A63F13/213 ,  A63F13/22 ,  A63F13/235 ,  A63F13/24 ,  A63F13/25 ,  A63F13/31 ,  A63F13/42 ,  A63F13/428 ,  A63F13/5255 ,  A63F13/53 ,  A63F13/80 ,  A63F13/92 ,  F21V23/04 ,  G01B11/00 ,  G01C19/5776 ,  G01D5/26 ,  G01J1/44 ,  G02B27/01 ,  G06F3/01 ,  G06F3/03 ,  G06F3/033 ,  G06F3/0346 ,  G06F3/038 ,  G06F3/0481 ,  G06T7/246 ,  G06T7/285 ,  G06T7/70 ,  G06T7/73 ,  G06T7/80 ,  H04N13/204 ,  H04N13/239 ,  G06F3/04815 ,  H04N13/246 ,  H04N13/254 ,  H05B45/10 ,  H05B47/11 ,  H05B47/19 ,  H05B47/125

Abstract: One disclosed example provides a head-mounted device configured to control a plurality of light sources of a handheld object and acquire image data comprising a sequence of environmental tracking exposures in which the plurality of light sources are controlled to have a lower integrated intensity and handheld object tracking exposures in which the plurality of light sources are controlled to have a higher integrated intensity. The instructions are further executable to detect, via an environmental tracking exposure, one or more features of the surrounding environment, determine a pose of the head-mounted device based upon the one or more features of the surrounding environment detected, detect via a handheld object tracking exposure the plurality of light sources of the handheld object, determine a pose of the handheld object relative to the head-mounted device based upon the plurality of light sources detected, and output the pose of the handheld object.

公开(公告)号：US11436756B2

公开(公告)日：2022-09-06

申请号：US16228688

申请日：2018-12-20

Applicant: Microsoft Technology Licensing, LLC

Inventor： Andrew William Fitzgibbon ,  Taras Khapko ,  Vuk Jovanovic ,  Filip Panjevic ,  Vladimir Carapic ,  Jelena Mojasevic

IPC: G06T7/80 ,  G06T7/73

Abstract: Examples are disclosed that relate to a camera model for a machine vision application. One example provides instructions executable to receive image data obtained by an image sensor of a camera, the image data capturing a calibration pattern comprising a plurality of calibration features, for each of one or more imaged calibration features in the image data, determine an object space location of the imaged calibration feature, and determine a distance between the object space location and a corresponding ray of a camera model, the camera model defining a plurality of rays that each represent a relationship of an image space location on the image sensor to object space. The instructions are further executable to determine a value of a cost function based on the distances, adjust the camera model until the cost function meets a target condition, and use the camera model in a machine vision application.

公开(公告)号：US10719125B2

公开(公告)日：2020-07-21

申请号：US15826560

申请日：2017-11-29

Applicant: Microsoft Technology Licensing, LLC

Inventor： Drew Steedly ,  Michael Edward Samples ,  Alexandru Octavian Balan ,  William Douglas Guyman ,  Vuk Jovanovic ,  Taras Khapko ,  Ivan Razumenic ,  Vladimir Carapic ,  Martin Thomas Shetter ,  Jelena Mojasevic ,  Andrew C. Goris ,  Marko Bezulj

IPC: A63F13/211 ,  A63F13/212 ,  A63F13/213 ,  A63F13/22 ,  A63F13/235 ,  A63F13/24 ,  A63F13/25 ,  A63F13/31 ,  A63F13/42 ,  A63F13/428 ,  A63F13/5255 ,  A63F13/53 ,  A63F13/80 ,  A63F13/92 ,  F21V23/04 ,  G01B11/00 ,  G01C19/5776 ,  G01D5/26 ,  G01J1/44 ,  G02B27/01 ,  G06F3/01 ,  G06F3/03 ,  G06F3/033 ,  G06F3/0346 ,  G06F3/038 ,  G06F3/0481 ,  G06T7/246 ,  G06T7/285 ,  G06T7/70 ,  G06T7/73 ,  G06T7/80 ,  H04N13/204 ,  H04N13/239 ,  H04N13/246 ,  H04N13/254 ,  H05B45/10 ,  H05B47/105 ,  H05B47/11 ,  H05B47/125 ,  H05B47/19

Abstract: One disclosed example provides a head-mounted device configured to control a plurality of light sources of a handheld object and acquire image data comprising a sequence of environmental tracking exposures in which the plurality of light sources are controlled to have a lower integrated intensity and handheld object tracking exposures in which the plurality of light sources are controlled to have a higher integrated intensity. The instructions are further executable to detect, via an environmental tracking exposure, one or more features of the surrounding environment, determine a pose of the head-mounted device based upon the one or more features of the surrounding environment detected, detect via a handheld object tracking exposure the plurality of light sources of the handheld object, determine a pose of the handheld object relative to the head-mounted device based upon the plurality of light sources detected, and output the pose of the handheld object.