Hand held portable three dimensional scanner

• US 9,549,168 B2
• Filed: 04/14/2014
• Issued: 01/17/2017
• Est. Priority Date: 04/21/2004
• Status: Active Grant

• Current Assignee: NextPat Limited
• Original Assignee: NextPat Limited
• Inventors: Knighton, Mark S., DeLaurentis, Peter J., McKinley, William D., Agabra, David S.
• Primary Examiner(s): Dang, Duy M
• Application Number:
  US14/252,125
• Publication Number:
  US 20140218480A1
• Time in Patent Office: 1,009 Days
• US Class Current: 1/1
• CPC Class Codes: G01B 11/24 for measuring contours or curvatures
• CPC Class Codes: H04N 13/204 using stereoscopic image cameras stereoscopic photography G03B35/00
• CPC Class Codes: H04N 13/271 wherein the generated image signals comprise depth maps or disparity maps

Abstract

Embodiments of the invention may include a scanning device to scan three dimensional objects. The scanning device may generate a three dimensional model. The scanning device may also generate a texture map for the three dimensional model. Techniques utilized to generate the model or texture map may include tracking scanner position, generating depth maps of the object and generation composite image of the surface of the object.

Claims

1. A method comprising:

capturing multiple images of a target in an image sensing array (ISA) at different focal settings;

analyzing over a plurality of the images an intensity of light at a pixel corresponding to a point on the target; and

identifying one of a local maxima or minima of the intensity of light for the pixel to determine which image contains a substantially optimum focus for the pixel.

2. The method of claim 1 further comprising:

determining a distance to a point on the target by analyzing the optimum focus for the pixel.

3. The method of claim 1 wherein identifying is performed local to the ISA.

4. The method of claim 2 wherein determining is performed local to the ISA.

5. The method of claim 1 further comprising:

identifying a substantially optimum focus image for a plurality of pixels and assembling them into a composite image of substantially optimum focus.

6. The method of claim 5 further comprising:

determining a distance to a corresponding point on the target for each of a plurality of pixels by analyzing the optimum focus for each pixel of the plurality and assembling the distances into a composite depth map; and

assembling the composite image data with the composite depth map to form a composite data set containing both texture and depth data.

7. The method of claim 6 wherein forming the composite data set is performed local to an image capture device.

8. The method of claim 5 further comprising:

incorporating the composite image into a three dimensional representation of the target.

9. The method of claim 5 further comprising:

performing stereo correlation on the composite image and a second composite image to assemble a composite depth map.

10. The method of claim 1 further comprising:

determining a distance to a corresponding point on the target for each of a plurality of pixels by analyzing the optimum focus for each pixel of the plurality and assembling the distances into a composite depth map.

11. The method of claim 10 further comprising creating a three dimensional representation of the target using the composite depth map.

12. The method of claim 1 wherein capturing at different focal settings comprises:

moving at least one of an image sensing array (ISA) and a lens with a piezo actuator.

13. The method of claim 1 wherein capturing at different focal settings comprises:

selecting at least one of a plurality of distinct image sensing arrays (ISAs) and lenses at different focal distances.

14. The method of claim 1 wherein capturing at different focal settings comprises:

using an ISA capable of concurrently focusing at different depths within its structure.

15. The method of claim 1 wherein the optimum focus can be determined for a target surface that appears substantially homogeneous unless captured at finer than 300 pixels per inch resolution as measured at the target surface.