3D Object Recognition Using Spatial Relationship Prediction

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Solution Overview

Problem

Existing image recognition systems struggle with recognizing objects in images and require time-consuming database construction for each recognition task, often failing to account for relationships among objects.

Innovation Solution

An information processing apparatus that includes an object property group information input unit, an object disposition property database, and a prediction unit to predict object properties based on input information and a trained neural network that recognizes positional relationships among objects.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If image recognition is performed using traditional methods, then object recognition can be achieved, but recognition accuracy is insufficient and objects are not recognized in some cases

Engineering Contradiction:
Improveobject recognition accuracyVSAvoidrecognition completeness
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent introduces an object disposition property database as an intermediary between image recognition and object identification. This database stores pre-learned positional relationships among objects, serving as a mediator that supplements incomplete recognition results by predicting missing objects based on their spatial relationships with detected objects.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs preliminary learning of object disposition properties before actual recognition tasks. The object disposition property database is pre-populated with positional relationship data from multiple images, enabling the system to predict and supplement missing objects during recognition without requiring real-time complex processing.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If a database is constructed from the beginning for each recognition task, then task-specific recognition can be achieved, but time and effort are excessively consumed

Engineering Contradiction:
Improvetask-specific recognition accuracyVSAvoiddatabase construction time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The object disposition property database serves multiple recognition tasks simultaneously. Instead of constructing separate databases for each task, the system learns general object positional relationships that can be applied across different recognition scenarios, significantly reducing time and effort requirements.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system performs database construction and learning in advance, storing object disposition properties in a reusable format. This preliminary action eliminates the need for time-consuming database construction during each recognition task, as the pre-learned properties can be directly applied to various tasks.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If traditional image recognition is used, then processing can be completed, but relationships among objects are not accounted for

Engineering Contradiction:
Improveprocessing efficiencyVSAvoidobject relationship information
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The patent introduces an object relationship information acquisition unit and object disposition property database as intermediaries that capture and store spatial relationships among objects. These intermediaries preserve relationship information that would otherwise be lost in traditional recognition systems, enabling prediction of missing objects based on their relationships with detected objects.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20250232574A1Information processing apparatus, method of controlling information processing apparatus, and storage medium
Publication Date: 2025.07.17 CANON KK
  • US20250232574A1 patent drawing
  • US20250232574A1 patent drawing
  • US20250232574A1 patent drawing

AI summary

In order to improve processing related to image recognition, information processing apparatus comprises an object property group information input unit configured to input object property group information that includes at least two or more pieces of object property information, the object property information including type information that represents names of types of objects and information regarding three-dimensional positions of the objects in a space; an object disposition property database that holds the type information that represents the names of the types of the objects and the information regarding the three-dimensional positions of the objects in the space in an associated manner; and a prediction unit configured to predict information related to the information included in the object property group information on the basis of the object property group information input by the object property group information input unit and the object disposition property database.