Inferential avatar rendering techniques in augmented or virtual reality systems

• US 9,881,420 B2
• Filed: 05/07/2015
• Issued: 01/30/2018
• Est. Priority Date: 04/18/2014
• Status: Active Grant

• Current Assignee: Magic Leap, Inc.
• Original Assignee: Magic Leap, Inc.
• Inventors: Miller, Samuel A.
• Primary Examiner(s): Nguyen, Vu
• Application Number:
  US14/706,897
• Publication Number:
  US 20150302661A1
• Time in Patent Office: 999 Days
• Field of Search: None
• CPC Class Codes: A63F 13/56 Computing the motion of game characters with respect to other game characters, game objects or elements of the game scene, e.g. for simulating the behaviour of a group of virtual soldiers or for path finding
• CPC Class Codes: A63F 13/57 Simulating properties, behaviour or motion of objects in the game world, e.g. computing tyre load in a car race game A63F13/56 takes precedence
• CPC Class Codes: A63F 13/577 using determination of contact between game characters or objects, e.g. to avoid collision between virtual racing cars
• CPC Class Codes: G02B 2027/0138 comprising image capture systems, e.g. camera
• CPC Class Codes: G02B 2027/014 comprising information/image processing systems
• CPC Class Codes: G02B 2027/0178 Eyeglass type eyeglass details G02C
• CPC Class Codes: G02B 2027/0187 slaved to motion of at least a part of the body of the user, e.g. head, eye
• CPC Class Codes: G02B 27/0093 with means for monitoring data relating to the user, e.g. head-tracking, eye-tracking
• CPC Class Codes: G02B 27/0101 characterised by optical features G02B27/0172 takes precedence
• CPC Class Codes: G02B 27/017 Head mounted
• CPC Class Codes: G02B 27/0172 characterised by optical features
• CPC Class Codes: G02B 27/0179 Display position adjusting means not related to the information to be displayed
• CPC Class Codes: G06F 3/005 Input arrangements through a video camera
• CPC Class Codes: G06F 3/011 Arrangements for interaction with the human body, e.g. for user immersion in virtual reality blind teaching G09B21/00
• CPC Class Codes: G06F 3/012 Head tracking input arrangements
• CPC Class Codes: G06F 3/013 Eye tracking input arrangements G06F3/015 takes precedence
• CPC Class Codes: G06F 3/014 Hand-worn input/output arrangements, e.g. data gloves
• CPC Class Codes: G06F 3/016 Input arrangements with force or tactile feedback as computer generated output to the user
• CPC Class Codes: G06F 3/017 Gesture based interaction, e.g. based on a set of recognized hand gestures interaction based on gestures traced on a digitiser G06F3/04883
• CPC Class Codes: G06F 3/16 Sound input; Sound output speech processing G10L
• CPC Class Codes: G06F 3/167 : Audio in a user interface, e.g. using voice commands for navigating, audio feedback
• CPC Class Codes: G06Q 30/02 : Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06T 11/60 : Editing figures and text; Combining figures or text
• CPC Class Codes: G06T 13/40 : of characters, e.g. humans, animals or virtual beings
• CPC Class Codes: G06T 13/80 : 2D [Two Dimensional] animation, e.g. using sprites
• CPC Class Codes: G06T 15/10 : Geometric effects
• CPC Class Codes: G06T 19/003 : Navigation within 3D models or images
• CPC Class Codes: G06T 19/006 : Mixed reality object pose determination, tracking or camera calibration for mixed reality G06T7/00
• CPC Class Codes: G06T 2200/04 : involving 3D image data
• CPC Class Codes: G06T 2213/08 : Animation software package
• CPC Class Codes: G06T 2215/16 : Using real world measurements to influence rendering
• CPC Class Codes: G06T 2219/024 : Multi-user, collaborative environment
• CPC Class Codes: G06T 7/60 : Analysis of geometric attributes
• CPC Class Codes: G06T 7/70 : Determining position or orientation of objects or cameras camera calibration G06T7/80
• CPC Class Codes: G06V 20/10 : Terrestrial scenes scenes under surveillance with static cameras G06V20/52; scenes perceived from the exterior of a vehicle G06V20/56; scenes perceived from the interior of a vehicle G06V20/59
• CPC Class Codes: G06V 20/20 : in augmented reality scenes
• CPC Class Codes: G06V 20/653 : by matching three-dimensional models, e.g. conformal mapping of Riemann surfaces
• CPC Class Codes: G06V 20/80 : Recognising image objects characterised by unique random patterns
• CPC Class Codes: H04S 2400/11 : Positioning of individual sound objects, e.g. moving airplane, within a sound field H04S2420/13 takes precedence
• CPC Class Codes: H04S 2400/15 : Aspects of sound capture and related signal processing for recording or reproduction
• CPC Class Codes: H04S 7/304 : For headphones

Abstract

An augmented reality display system comprises a passable world model data comprises a set of map points corresponding to one or more objects of the real world. The augmented reality system also comprises a processor to communicate with one or more individual augmented reality display systems to pass a portion of the passable world model data to the one or more individual augmented reality display systems, wherein the piece of the passable world model data is passed based at least in part on respective locations corresponding to the one or more individual augmented reality display systems.

Claims

1. A method for displaying augmented reality, comprising:

displaying a virtual object to a user of an augmented reality display system;

associating a navigation object to the virtual object, wherein the navigation object is configured to be responsive to one or more predetermined conditions; and

modifying at least one parameter of the navigation object by setting a level of sensitivity of the navigation object in response to the one or more predetermined conditions.

2. The method of claim 1, further comprising maintaining a collection of navigation objects, wherein a plurality of navigation objects of the collection of navigation objects are associated with the virtual object.

3. The method of claim 2, wherein the collection of navigation objects is re-used by other users of the augmented reality system.

4. The method of claim 1, wherein the one or more predetermined conditions comprises a presence of a structure by a navigation object that is responsive to the presence of the structure in a virtual space or environment.

5. The method of claim 1, wherein the one or more predetermined conditions comprises a detection of a light source or a source of light by a light response navigation object in a virtual space or environment.

6. The method of claim 1, wherein the one or more predetermined conditions comprises a detection of a sound or a source of sound by a navigation object that is responsive to sound in a virtual space or environment.

7. The method of claim 1, wherein the one or more predetermined conditions comprises a source of food or water by a navigation object that is configured to sense a presence of food or a presence of water in a virtual space or environment.

8. The method of claim 1, wherein the one or more predetermined conditions comprises identifying an emotion using a navigation object.

9. The method of claim 1, wherein the at least one parameter pertains to a movement of the navigation object by a navigation object that is responsive to the movement.

10. The method of claim 1, wherein the at least one parameter pertains to an animation of the virtual object based on movements of the user in captured images.

11. The method of claim 1, wherein the level of sensitivity is set based at least in part on user input.

12. The method of claim 1, further comprising setting a boundary for the level of sensitivity.

13. The method of claim 1, further comprising defining a level of response of the navigation object to the one or more predetermined conditions.

14. The method of claim 13, wherein the level of response affects the modification of at least one parameter of the navigation object.

15. The method of claim 1, wherein the at least one parameter comprises a speed of movement of the navigation object.

16. The method of claim 1, wherein the at least one parameter comprises a direction of movement of the navigation object.

17. The method of claim 1, wherein the association of the virtual object to the navigation object comprises defining a coordinate frame of the navigation object in relation to a coordinate frame of the virtual object.

18. The method of claim 1, further comprising scaling the navigation object in size.

19. The method of claim 1, further comprising arranging a plurality of navigation objects as a ring around the virtual object.

20. The method of claim 19, combining an output of the plurality of navigation objects to generate a combined output.

21. The method of claim 1, wherein the one or more predetermined conditions pertains to time.

22. The method of claim 1, wherein the navigation object corresponds to an emotion vector, the emotion vector comprising of particular values at a particular state in time.

23. The method of claim 22, further comprising assigning an emotional state to the navigation object.