Unified Object Image Registration for Multi-Function Detection

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Conventional image processing apparatuses require users to perform different registration operations for various subject detection and recognition functions, placing a heavy burden on the user as the operations differ between functions.

Innovation Solution

An image processing apparatus with a unified object registration operation method that includes a designation unit for selecting an object image, detection units for identifying subjects, and storage units for feature extraction and storage, allowing for common registration across multiple subject detection and recognition functions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If different registration operations are used for various subject detection and recognition functions, then each function can be optimized for its specific purpose, but the user burden increases and ease of operation deteriorates

Engineering Contradiction:
Improvefunction-specific detection accuracyVSAvoiduser burden
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The patent implements a unified registration operation that serves multiple subject detection and recognition functions simultaneously. The single registration process extracts features that can be used across different functions (face detection, person recognition, object tracking), eliminating the need for separate registration operations for each function while maintaining function-specific optimization through selective feature usage.

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

2Reliability

If multiple separate registration operations are implemented for different functions, then each function receives dedicated optimization, but the device complexity and number of operations increase

Engineering Contradiction:
Improvedetection precisionVSAvoidnumber of registration operations
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent merges multiple registration operations into a single unified process. The registration operation simultaneously performs feature extraction that benefits multiple functions (face features, person identification features, object tracking features), reducing the number of separate operations from multiple to one while maintaining the detection precision required by each function through multi-purpose feature extraction.

Inventive Principle:
Principle #5Merging (Combining)

3Ease of operation

If a unified registration operation is used for multiple functions, then ease of operation improves and user burden decreases, but the ability to optimize for specific functions may be reduced

Engineering Contradiction:
Improveregistration simplicityVSAvoidfunction-specific optimization
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent uses parameter changes to enable a unified registration operation to serve multiple functions. The system extracts multiple types of features (face geometry, skin tone, person ID, object characteristics) from a single registration, and dynamically selects or weights appropriate features based on the specific function being performed, thus maintaining function-specific optimization while using a unified registration process.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS8577098B2Apparatus, method and program for designating an object image to be registered
Publication Date: 2013.11.05 CANON KK
  • US8577098B2 patent drawing
  • US8577098B2 patent drawing
  • US8577098B2 patent drawing

AI summary

An image processing apparatus comprising: a first detection unit adapted to detect a first subject from an object image; a first extraction unit adapted to extract a first feature amount for identifying an attribute of the first subject; a second extraction unit adapted to extract a second feature amount for detecting the second subject; a first storage unit adapted to store the first feature amount; and a second storage unit adapted to store the second feature amount, wherein when the first detection unit detects the first subject, the first extraction unit extracts the first feature amount and the first storage unit stores the amount, and when the first detection unit cannot detect the first subject, the second extraction unit extracts the second feature amount and the second storage unit stores the amount.