3D Coordinate Derivation Using Pattern Projection for Low-Reflectance Objects

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Solution Overview

Problem

Existing three-dimensional measurement methods using pattern light projection face challenges with low-reflectance objects, such as black or metal objects, due to weak reflected light, leading to noise-induced errors in determining correspondence between projection and image coordinates, which reduces measurement accuracy.

Innovation Solution

An information processing apparatus that projects patterns with bright and dark portions, uses Gray code or Maximum Min-Stripe-Width patterns, and employs label allocation and edge detection units to derive correspondence relationships and calculate three-dimensional coordinates, correcting noise-induced errors through binarization and spatial encoding.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the exposure time is lengthened to increase observed luminance, then the measurement precision is improved, but the measurement time is extended

Engineering Contradiction:
Improvemeasurement precisionVSAvoidmeasurement time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent changes the temporal parameter by using multiple sequential pattern projections with different phases (temporal multiplexing) instead of extending exposure time. The system projects patterns at different time points and combines the temporal information to achieve high precision measurement without increasing total measurement time.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If the spreading of light is narrowed to increase illumination intensity, then the measurement precision is improved, but the measurement range is narrowed

Engineering Contradiction:
Improvemeasurement precisionVSAvoidmeasurement range
Core Design Contradiction:
Measurement precisionVSArea of stationary object

Solution Approach 1:

The patent transitions from spatial dimension to temporal dimension by projecting multiple patterns sequentially over time. This allows the system to maintain a fixed projection geometry (preserving measurement range) while achieving high precision through temporal separation of pattern information.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Measurement precision

If a thin striped pattern is used to increase spatial resolution, then the measurement precision is improved, but the contrast is reduced leading to increased noise influence

Engineering Contradiction:
Improvemeasurement precisionVSAvoidpattern recognition reliability
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent ensures continuous and complete observation of pattern information by maintaining the imaging apparatus in a ready state across multiple sequential projections. The system continuously captures pattern information over time without interruption, ensuring that even thin striped patterns are fully observed and their phase information is completely recovered.

Inventive Principle:
Principle #20Continuity of useful action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables high-precision three-dimensional coordinate calculation even with low-reflectance objects by reducing noise influence and maintaining pattern constraints, thus improving measurement accuracy without extending measurement time or narrowing the measurement range.

Implementation Method 1

observing light reflected from the measurement target object

Methodology Applied
Scientific EffectReflection: Reflection

Data Source

PatentUS10032279B2Information processing apparatus, information processing method, and storage medium
Publication Date: 2018.07.24 CANON KK
  • US10032279B2 patent drawing
  • US10032279B2 patent drawing
  • US10032279B2 patent drawing

AI summary

An information processing apparatus includes an image acquisition unit configured to acquire an image obtained by imaging a target object onto which a pattern having a bright portion and a dark portion is projected by a projection unit, an allocation unit configured to allocate, to a pixel in the image, a label corresponding to luminance of the pixel by referring to a characteristic of the pattern, and a correspondence relationship derivation unit configured to derive a correspondence relationship between a position of the pattern in a projection plane of the projection unit and a position of the pattern in the acquired image and a three-dimensional coordinate derivation unit configured to derive three-dimensional coordinates of a surface of the target object based on the derived correspondence relationship.