# US 2018/0023947 A1 · Systems and methods for 3d surface measurements

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- Number: US 2018/0023947 A1
- Document ID: US20180023947A1
- Status: Published application
- Kind: A1
- Application number: 15/655,656
- Filed: 2017-07-20
- Published: 2018-01-25
- Earliest claimed: 2016-07-20
- Assignees: Mura Inc.
- Applicants: Mura Inc.
- Inventors: Lingfei Meng; Jun Jiang
- Web page: https://patentgrep.com/patent/US20180023947A1

## CPC

- G01B 11/25: by projecting a pattern, e.g. {one or more lines,} moiré fringes on the object (G01B11/255 takes precedence {; image analysis for depth or shape recovery G06T7/50})
- G01B 11/303: {using photoelectric detection means}
- H04N 13/271: wherein the generated image signals comprise depth maps or disparity maps
- H04N 13/296: Synchronisation thereof; Control thereof
- G01B: MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION

## Abstract

Certain embodiments are directed to 3D surface measurement systems and methods configured to direct engineered illumination of beams in one or more ray bundles to N illumination directions incident a sample surface. The systems and methods can measure a map of surface normals, a depth map, and a map of surface properties using intensity images captured while the engineered illumination is directed to the sample surface.

## Claims

### Claim 1

A 3D surface measurement system comprising:
an engineered illumination system configured to provide at least one ray bundle to N illumination directions incident a surface of a sample being imaged, wherein each ray bundle comprises illumination beams of various intensities;
a first camera with an imaging lens and at least one sensor configured to capture intensity images at the N illumination directions based on light received from the illuminated sample; and
a controller configured to execute instructions to:
determine a sensor response at each sensor pixel from the intensity images at the N illumination directions; and
match the sensor response at each sensor pixel to one of a plurality of predetermined sensor responses to determine a surface normal at each sensor pixel; and
construct a map of surface normals of the surface by combining the determined surface normal of all the sensor pixels of the at least one sensor.

### Claim 2 (depends on 1)

The 3D surface measurement system of claim 1, wherein the engineered illumination system comprises:
an illumination device with at least one light source; and
one or more optical elements configured to generate and propagate the at least one ray bundle based on light from the at least one light source to the surface of the sample and to propagate light from the illuminated surface to the camera.

### Claim 3 (depends on 2)

The 3D surface measurement system of claim 2, wherein the one or more optical elements comprise a diffuser configured to spread illumination from the at least one light source to the illumination beams of various intensities of each ray bundle according to a transmission profile of the diffuser.

### Claim 4 (depends on 3)

The 3D surface measurement system of claim 3, wherein the diffuser transmission profile is configured to spread the illumination beams of various intensities to different angles according to a Gaussian or Gaussian-like distribution.

### Claim 5 (depends on 2)

The 3D surface measurement system of claim 2, wherein the one or more optical elements are further configured to distribute the illumination beams of various intensities at different angles according to a linear gradient.

### Claim 6 (depends on 2)

The 3D surface measurement system of claim 2, wherein the one or more optical elements are further configured to distribute the illumination beams of various intensities at different angles according to a random distribution.

### Claim 7 (depends on 2)

The 3D surface measurement system of claim 2, further comprising an additional illumination source configured to direct illumination incident the surface of the sample at an oblique angle

### Claim 8 (depends on 2)

The 3D surface measurement system of claim 2, wherein the one or more optical elements comprise:
a mirror configured to receive illumination beams propagated from the at least one light source; and
a beam splitter configured to receive the illumination beams from the mirror and reflecting the illumination beams to the surface of the sample and configured to transmit light reflected from the surface of the sample.

### Claim 9 (depends on 2)

The 3D surface measurement system of claim 2, wherein the one or more optical elements comprise:
a combination filter of a plurality of neutral density filters, the combination filter configured to engineer illumination from the at least one light source into the illumination beams of different intensities, each neutral density filter associated with one illumination beam; and
a collimator configured to collimate the illumination beams propagated from the combination filter.

### Claim 10 (depends on 1)

The 3D surface measurement system of claim 1, wherein the engineered illumination system comprises:
an illumination array having a plurality of illumination elements, the illumination array configured to activate one of the illumination elements at a single exposure time; and
a collimator configured to collimate illumination received from the one activated illumination element; and
a diffuser configured to spread the collimated illumination from the collimator to the illumination beams of various intensities of each ray bundle according to a transmission profile of the diffuser.

### Claim 11 (depends on 1)

The 3D surface measurement system of claim 1, further comprising a motion control device configured to manipulate the sample and/or the engineered illumination and the camera together.

### Claim 12 (depends on 11)

The 3D surface measurement system of claim 11, wherein the motion control device is configured to manipulate the sample and/or the engineered illumination and the camera together to shift the illumination beams to different regions of the surface of the sample.

### Claim 13 (depends on 11)

The 3D surface measurement system of claim 11, wherein the motion control device is configured to manipulate the sample and/or the engineered illumination and the camera together to direct the illumination beams in the N illumination directions.

### Claim 14 (depends on 2)

The 3D surface measurement system of claim 2, further comprising a wavelength and/or polarization control device configured to alter the wavelength and/or polarization of the one or more ray bundles or alter the wavelength and/or polarization of reflected light from the surface of the sample.

### Claim 15 (depends on 2)

The 3D surface measurement system of claim 2, further comprising a first wavelength and/or polarization control device configured to alter the wavelength and/or polarization of the one or more ray bundles and a second wavelength and/or polarization control device configured to alter the wavelength and/or polarization of the reflected light from the surface of the sample.

### Claim 16 (depends on 2)

The 3D surface measurement system of claim 2, wherein the controller further configured to execute instructions to determine a depth map and/or surface properties of the surface of the sample.

### Claim 17 (depends on 2)

The 3D surface measurement system of claim 2, further comprising a second camera with an imaging lens and at least one sensor, the second camera configured to capture intensity images at the N illumination directions based on light received from the illuminated sample, wherein the second camera captures intensity images from a different angle than the first camera.

### Claim 18

A 3D surface measurement method comprising:
receiving a plurality of intensity images of a sample in a signal from at least one sensor of a camera, the plurality of intensity images captured at a plurality of exposure times at each illumination direction of N illumination directions of one or more ray bundles, each ray bundle comprising illumination beams of various intensities;
determining a sensor response at each sensor pixel from the intensity images at the N illumination directions;
matching a sensor response at each sensor pixel to one of a plurality of predetermined sensor responses to determine a surface normal at each sensor pixel; and
construct a map of surface normals by combining the determined surface normal of all the sensor pixels of the at least one sensors.

### Claim 19 (depends on 18)

The 3D surface measurement method of claim 18, further comprising measuring a depth map of the surface from the map of surface normals.

### Claim 20 (depends on 18)

The 3D surface measurement method of claim 18, further comprising measuring a map of surface properties of the surface based on the map of surface normals.

### Claim 21 (depends on 20)

The 3D surface measurement method of claim 20, wherein the surface properties is one or more of a reflectance property, an emissivity property, and a translucency property.

### Claim 22 (depends on 20)

The 3D surface measurement method of claim 20, further comprising determining a defect in the surface of the sample using the one or more of measured surface normal, depth, and surface properties.

### Claim 23 (depends on 18)

The 3D surface measurement method of claim 18, further comprising:
measuring a depth map of the surface from the map of surface normals;
measuring surface properties of the surface based on the map of surface normals; and
generating a physically-based rendering based on the map of surface normals, the depth map, and the map of surface properties of the surface.

### Claim 24

A 3D surface measurement method comprising:
a) engineering at least one ray bundle to N illumination directions incident a surface a sample being imaged, each ray bundle comprising illumination beams of various intensities;
b) capturing, using at least one sensor of a camera, intensity images at a plurality of exposure times at each illumination direction based on light from the illuminated sample; and
c) communicating the intensity images to one or more processors, wherein the processors determine a sensor response at each sensor pixel from the intensity images at the N illumination directions, match a sensor response at each sensor pixel to one of a plurality of predetermined sensor responses to determine a surface normal at each sensor pixel, and construct a map of surface normals by combining the determined surface normal of all the sensor pixels of the at least one sensor.

### Claim 25 (depends on 24)

The 3D surface measurement method of claim 24, changing wavelength or polarization of the illumination beams of the one or more ray bundles and/or light from the illuminated sample, and then repeating a) and b).

### Claim 26

A 3D surface measurement method comprising:
engineering at least one ray bundle to N illumination directions incident a surface of a mirror or a chrome sphere, each ray bundle comprising illumination beams of various intensities;
capturing, using at least one sensor of a camera, intensity images at each illumination direction based on light reflected from the mirror or the chrome sphere; and
determining a calibration offset, system misalignment, or illumination directions based on the intensity images.
