Image Processing for Unified Subject Group Visualization
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Solution Overview
Problem
Existing imaging technologies struggle to visually distinguish and group multiple subjects in an image effectively, making it difficult to identify and manage them as a cohesive object.
Innovation Solution
An image processing device and method that recognizes a subject group in an image, displays grouped subject regions with a boundary line or frame, and adjusts the display aspect based on distance and other conditions to facilitate identification as a single object.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple subjects are displayed individually in the image, then each subject can be identified separately, but it becomes difficult to visually grasp them as a unified object
Solution Approach 1:
The patent merges multiple individual subject recognitions into a unified subject group by applying grouping criteria (spatial proximity, similarity metrics). This combining approach maintains individual subject identification while creating a cohesive visual group that can be perceived as a single object, resolving the contradiction between precise identification and visual grouping.
Solution Approach 2:
The subject group serves multiple functions: it enables individual subject identification through detailed recognition while simultaneously providing group-level perception for visual grasping. This multi-functionality allows the system to satisfy both the need for precise subject identification and the need for easy visual grouping.
2Loss of information
If detailed recognition results for all subjects are displayed, then complete information is provided, but the complexity of the display increases
Solution Approach 1:
The patent segments the display information into two levels: individual subject recognition results and group-level synthesis. This segmentation allows complete subject information to be processed and stored while presenting a simplified grouped view, reducing display complexity without losing information completeness.
Solution Approach 2:
The patent introduces a new dimension of organization by grouping subjects based on spatial and similarity criteria. This additional organizational dimension allows the system to maintain complete subject information while presenting it in a structured, less complex format through the grouping perspective.
3Measurement precision
If subjects are grouped based on multiple criteria, then grouping accuracy improves, but the computational complexity increases
Solution Approach 1:
The patent performs preliminary actions by pre-calculating spatial relationships and similarity metrics between subjects before final grouping. This preliminary processing organizes the data in a way that facilitates accurate grouping while managing computational complexity through staged processing.
Solution Approach 2:
The grouping criteria and parameters are made dynamic and adjustable, allowing the system to adapt the complexity of grouping based on scene characteristics and user needs. This dynamic approach enables high grouping accuracy when needed while reducing processing complexity in simpler scenarios.
Data Source
AI summary
An image processing device includes a processor and a memory connected to or built in the processor. The processor recognizes a subject included in a subject group based on image data obtained by imaging the subject group with an imaging apparatus, displays an image indicated by the image data on a display, and displays a plurality of subject regions, which are included in the image, correspond to a plurality of subjects included in the subject group, and satisfy a predetermined condition, in the image in an aspect that is capable of being identified as one object based on a result of recognizing the subject.