# US 2025/0209596 A1 · Deformation composition data generation apparatus and deformation composition data generation method

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- Number: US 2025/0209596 A1
- Document ID: US20250209596A1
- Status: Published application
- Kind: A1
- Application number: 18/851,798
- Filed: 2022-04-13
- Published: 2025-06-26
- Earliest claimed: 2022-04-13
- Assignees: NEC Corporation
- Applicants: NEC Corporation
- Inventors: Tatsuya Sumiya; Jiro Abe; Kazumine Ogura
- Web page: https://patentgrep.com/patent/US20250209596A1

## CPC

- G06T 7/0004: {Industrial image inspection}
- G06N 20/00: Machine learning
- G06T 2207/10028: Range image; Depth image; 3D point clouds
- G06T 2207/20081: Training; Learning
- G06T 2207/30184: Infrastructure
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS

## Abstract

In the deformation composition data generation apparatus which is implemented by one or more processors, an acquisition unit acquires a distribution of amount of displacement for points in point cloud data, and a composition unit composes the amount of displacement to the points in the point cloud data according to the distribution.

## Claims

### Claim 1

A deformation composition data generation apparatus comprising:
a memory storing software instructions, and
one or more processors configured to execute the software instructions to acquire a distribution of amount of displacement for points in point cloud data, and
compose the amount of displacement to the points in the point cloud data according to the distribution.

### Claim 2 (depends on 1)

The deformation composition data generation apparatus according to claim 1, wherein
the distribution is a distribution of amount of displacement of each point in the point cloud data from a model representing a shape formed by the point cloud data in any range of the point cloud data.

### Claim 3 (depends on 2)

The deformation composition data generation apparatus according to claim 2,
wherein the one or more processors are further configured to execute the software instructions to
select the range where composition is performed on the point cloud data.

### Claim 4 (depends on 3)

The deformation composition data generation apparatus according to claim 3,
wherein the one or more processors are further configured to execute the software instructions to
generate the model for the selected range from the point cloud data.

### Claim 5 (depends on 4)

The deformation composition data generation apparatus according to claim 4, wherein
the model represents a planar structure, and
the one or more processors are configured to execute the software instructions to generate the model by calculating an equation of a plane through which the points belonging to the range selected from the point cloud data pass.

### Claim 6 (depends on 4)

The deformation composition data generation apparatus according to claim 4, wherein
the model represents a geometric structure of a spherical surface or cylinder, and
the one or more processors are configured to execute the software instructions to generate the model by calculating an equation of the spherical surface or cylinder through which the points belonging to the range selected from the point cloud data pass, or a parameter characterizing the geometric structure.

### Claim 7 (depends on 1)

The deformation composition data generation apparatus according to claim 1,
wherein the one or more processors are further configured to execute the software instructions to
perform a variation process on the distribution of amount of displacement.

### Claim 8 (depends on 1)

The deformation composition data generation apparatus according to claim 1,
wherein the one or more processors are further configured to execute the software instructions to
construct a learning model by performing machine learning using the point cloud data to which the amount of displacement is composed as training data.

### Claim 9 (depends on 1)

The deformation composition data generation apparatus according to claim 1, further comprising
a memory which stores the distribution of amount of displacement.

### Claim 10 (depends on 1)

The deformation composition data generation apparatus according to claim 1, wherein
the distribution of amount of displacement is a distribution generated by calculating an amount of displacement from existing point cloud data.

### Claim 11 (depends on 1)

The deformation composition data generation apparatus according to claim 1, wherein
the distribution of amount of displacement is a distribution defined by a mathematical formula that expresses a relationship between coordinates of the points in the point cloud data and the amount of displacement.

### Claim 12

A deformation composition data generation method comprising:
acquiring a distribution of amount of displacement for points in point cloud data, and
composing the amount of displacement to the points in the point cloud data according to the distribution.

### Claim 13

A non-transitory computer readable recording medium storing a deformation composition data generation program causing a computer to execute:
acquiring a distribution of amount of displacement for points in point cloud data, and
composing the amount of displacement to the points in the point cloud data according to the distribution.