USING A COMBINATION OF 2D AND 3D IMAGE DATA TO DETERMINE HAND FEATURES INFORMATION
First Claim
1. A method comprising:
- receiving a two dimensional (2D) image frame;
receiving three dimensional (3D) image data corresponding to the 2D image frame;
using the 3D image data corresponding to the 2D image frame, transforming the 2D image frame; and
using the 3D image data corresponding to the 2D image frame, scaling the 2D image frame,wherein the transforming and scaling results in a normalized 2D image frame, wherein the normalized 2D image frame is a scaled and transformed version of the 2D image frame,further wherein the scaling and transforming is performed using a computer.
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Abstract
A method of determining hand features information using both two dimensional (2D) image data and three dimensional (3D) image data is described. In one implementation, a method includes: receiving a 2D image frame; receiving 3D image data corresponding to the 2D image frame; using the 3D image data corresponding to the 2D image frame, transforming the 2D image frame; and using the 3D image data corresponding to the 2D image frame, scaling the 2D image frame, where the transforming and scaling results in a normalized 2D image frame, where the normalized 2D image frame is a scaled and transformed version of the 2D image frame, and where the scaling and transforming is performed using a computer.
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Citations
21 Claims
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1. A method comprising:
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receiving a two dimensional (2D) image frame; receiving three dimensional (3D) image data corresponding to the 2D image frame; using the 3D image data corresponding to the 2D image frame, transforming the 2D image frame; and using the 3D image data corresponding to the 2D image frame, scaling the 2D image frame, wherein the transforming and scaling results in a normalized 2D image frame, wherein the normalized 2D image frame is a scaled and transformed version of the 2D image frame, further wherein the scaling and transforming is performed using a computer. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method comprising:
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capturing a two dimensional (2D) red green blue (RGB) image frame, wherein the 2D RGB image frame includes an image of a hand and is captured using an RGB camera; capturing three dimensional (3D) image data corresponding to the 2D RGB image frame, wherein the 3D image data corresponding to the 2D image frame is (a) skeletal tracking information corresponding to the 2D RGB image frame or (b) a 3D image frame corresponding to the 2D RGB image frame, wherein the 3D image data is captured using an infrared (IR) camera; using the 3D image data corresponding to the 2D RGB image frame, producing a a normalized RGB 2D image frame, wherein the normalized 2D RGB image frame is a scaled and transformed version of the 2D RGB image frame, wherein the producing is performed using a computer. - View Dependent Claims (12, 13, 14, 15)
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16. A non-transitory computer readable medium including computer executable code, which when executed on a computer, cause the computer to perform a method comprising:
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receiving a two dimensional (2D) image frame; receiving three dimensional (3D) image data corresponding to the 2D image frame; using the 3D image data corresponding to the 2D image frame, transforming the 2D image frame; and using the 3D image data corresponding to the 2D image frame, scaling the 2D image frame, wherein the transforming and scaling results in a normalized 2D image frame, wherein the normalized 2D image frame is a scaled and transformed version of the 2D image frame. - View Dependent Claims (17, 18, 19, 20, 21)
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Specification