Calibration of sensors and projector

US2016378258A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016378258-A1
Application numberUS-201415121690-A
CountryUS
Kind codeA1
Filing dateFeb 28, 2014
Priority dateFeb 28, 2014
Publication dateDec 29, 2016
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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Abstract

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An example system, including a projector unit, an all-in-one computer comprising a calibration module and attachable to the projector unit, and a plurality of sensors communicatively coupled to the all-in-one computer is provided. In addition, the all-in-one computer stores mapping information relating to mappings between the plurality of sensors and the projector unit in a common coordinate system. Further, the calibration module calibrates the plurality of sensors and the projector unit using the mapping information.

First claim

Opening claim text (preview).

What is claimed is: 1 . A system, comprising: a projector unit; an all-in-one computer comprising a calibration module and attachable to the projector unit, a plurality of sensors communicatively coupled to the all-in-one computer; and wherein the all-in-one computer stores mapping information relating to mappings between the plurality of sensors and the projector unit in a common coordinate system, and wherein the calibration module calibrates the plurality of sensors and the projector unit using the mapping information. 2 . The system of claim 1 , wherein the calibration module calculates perspective transformation between the plurality of sensors to derive the mappings between the plurality of sensors. 3 . The system of claim 1 , wherein the calibration module maps the plurality of sensors and the projector unit to a reference sensor, wherein the reference sensor is a depth sensor. 4 . The method of claim 1 , wherein the mappings comprise a three dimension (3D)-to-two dimensional (2D) mapping, which maps between 3D coordinates of one sensor and 2D coordinates of another sensor in the plurality of sensors. 5 . The system of claim 1 , wherein the plurality of sensors comprises a depth sensor and a gesture sensor, and the mapping comprises mapping of data of the depth sensor and the gesture sensor. 6 . The system of claim 1 , wherein the plurality of sensors comprises a depth sensor, and the mappings comprise a projection mapping between 3D coordinates of the depth sensor and 2D coordinates of the projector unit. 7 . The method of claim 1 , wherein the mappings between the plurality of sensors include data related to scale, rotation, translation and depth invariant. 8 . The system of claim 1 , wherein one of the plurality of sensors is a depth sans and the depth sensor detects a calibration pattern projected by the projector unit. 9 . The system of claim 7 , wherein the calibration pattern may be known or predefined pattern such as a checkerboard pattern. 10 . The system of claim 7 , wherein the calibration pattern is used in relations to the mappings between the plurality of sensors and the projector unit in the common coordinate system. 11 . The system of claim 1 , wherein the plurality of sensors comprise a plurality of cameras, some of which are used for depth detection, gesture sensing and stereoscopic stylus tracking. 12 . A method for providing a calibration between a plurality of sensors and projector unit, comprising: receiving a calibration pattern, wherein the plurality of sensors having at least a first sensor and a second sensor; detecting features of the calibration pattern, the features associated with coordinates in coordinate space of the first sensor; mapping coordinates of the detected features to a common coordinate space; and deriving a mapping between coordinates in the coordinate space of a second sensor and the common coordinate space based on the mapped coordinates and the coordinates in the coordinate space of the first sensor. 13 . The method of claim 12 , further comprising calculating a perspective geometry between the first sensor and the second sensor. 14 . The method of claim 12 , further comprising deriving a projective mapping between the plurality of sensors and the projection unit. 15 . The method of claim 14 , wherein the plurality of sensors comprises a depth sensor, and the projective mapping is between 3D coordinates of the depth sensor and 2D coordinates of the projector unit.

Assignees

Inventors

Classifications

  • Detection arrangements using opto-electronic means (constructional details of pointing devices not related to the detection arrangement using opto-electronic means G06F3/033; optical digitisers G06F3/042) · CPC title

  • G06F3/0418Primary

    for error correction or compensation, e.g. based on parallax, calibration or alignment · CPC title

  • Pens or stylus · CPC title

  • Panel PC, e.g. single housing hosting PC and display panel · CPC title

  • 2.5D-digitiser, i.e. digitiser detecting the X/Y position of the input means, finger or stylus, also when it does not touch, but is proximate to the digitiser's interaction surface and also measures the distance of the input means within a short range in the Z direction, possibly with a separate measurement setup · CPC title

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What does patent US2016378258A1 cover?
An example system, including a projector unit, an all-in-one computer comprising a calibration module and attachable to the projector unit, and a plurality of sensors communicatively coupled to the all-in-one computer is provided. In addition, the all-in-one computer stores mapping information relating to mappings between the plurality of sensors and the projector unit in a common coordinate sy…
Who is the assignee on this patent?
Hewlett Packard Development Co Lp
What technology area does this patent fall under?
Primary CPC classification G06F3/0418. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Dec 29 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).