THREE-DIMENSIONAL RELATIONSHIP DETERMINATION

• US 20130076860A1
• Filed: 09/28/2011
• Published: 03/28/2013
• Est. Priority Date: 09/28/2011
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Liu, Eric, Marti, Stefan J., Kim, Seung Wook
• Granted Patent: US 9,292,963 B2
• Time in Patent Office: Days
• US Class Current: 348/46
• CPC Class Codes: G06T 15/205 Image-based rendering
• CPC Class Codes: G06T 2200/08 involving all processing steps from image acquisition to 3D model generation

Abstract

Example embodiments disclosed herein relate to determining relationships between locations based on beacon information. At least three sensors of a device can be used to determine locations of a beacon. The device can determine a three-dimensional relationship between the locations.

Claims

1. A method comprising:

determining an image of an object at a device;

detecting a plurality of positions of a beacon, wherein the positions are respectively associated with a plurality of portions of the image; and

determining, at the device, a three-dimensional model of the object based on the positions and the image.

2. The method of claim 1, wherein the beacon is an input device to the device, the method further comprising:

selecting a first one of the portions with the beacon;

triggering the detection of a first one of the positions,

wherein the first position corresponds to the first portion.

3. The method of claim 2, wherein the input device is a pen device that selects the first portion as a touch screen input to the device.

4. The method of claim 1, further comprising:

processing the image to determine the portions based on a visual analysis.

5. The method of claim 1, wherein the beacon includes an output signal and wherein the device includes at least three sensors to triangulate the positions.

6. The method of claim 5, wherein the output signal includes at least one of:

an ultrasound signal, a radio frequency signal, a visible light signal, magnetic field signal, and an infrared signal.

7. The method of claim 5, wherein the positions include three-dimensional coordinates and wherein the three-dimensional model includes texture mapped from the image.

8. The method of claim 5, further comprising:

monitoring a location of the device;

determining that the location of the device has changed;

determining another image of the object; and

detecting another position of the beacon that is associated with a first portion of the other image,

wherein the three-dimensional model is further based on the other position.

9. A device comprising:

a sensor module to control at least three sensors;

a location module to determine a plurality of locations of a beacon using the at least three sensors; and

a relationship module to determine a three-dimensional relationship between the locations.

10. The device of claim 9, wherein the locations are determined by the location module based on a plurality of signals respectively received from the beacon at the locations.

11. The device of claim 9, further comprising:

an image capture module to capture an image of an object; and

an object module to determine a plurality of portions of the object,

wherein the locations correspond to the portions, and

wherein the object module generates a three-dimensional object model for the object based on the image, the locations, and the portions.

12. The device of claim 11,

wherein one of the portions is selected,

wherein the beacon is placed at a physical location corresponding to the one portion,

wherein the at least three sensors receive a signal from the beacon, and

wherein one of the locations is based on the signal and the one location corresponds to the one portion.

13. A computing system comprising:

a device including;

an image capture device;

at least three position sensors; and

a processor coupled to memory; and

a mobile beacon that can provide input to the device, the mobile beacon including a signal transmitter,

wherein the processor is configured to;

determine a plurality of images via the image capture device;

determine an object in the images;

recognize the mobile beacon in the images;

determine a portion of at least one of the images based on the recognition;

receive signal information about at least one signal received at the at least three position sensors from the mobile beacon;

determine spatial location information about the mobile beacon wherein the spatial location information corresponds to the portion; and

determine a three-dimensional model of the object based, at least in part, on the spatial location information.

14. The computing system of claim 13, wherein the processor is further configured to:

determine another portion of at least another one of the images;

receive another signal information about at least another signal received at the at least three position sensors from the mobile beacon;

determine another spatial location information about the mobile beacon wherein the spatial location information corresponds to the other portion,

wherein the three-dimensional model is further based on the other spatial location information.

15. The computing system of claim 13, wherein the at least one signal is used to trigger the determination of the portion.