Image Capture Area Detection for Missing Target Regions
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Solution Overview
Problem
Conventional techniques for detecting objects in images fail to assist in capturing the entire specific target area, as they only distinguish the presence of undetected parts without specifying the areas, making it difficult to adjust imaging for complete capture.
Innovation Solution
An information processing device with specific target area detection, captured area detection, and determination units that identify non-captured areas, enabling adjustment of imaging environments to ensure complete capture of the target.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional object detection techniques are used, then object detection is achieved, but the specific target area cannot be completely captured
Solution Approach 1:
The patent segments the object detection task into two independent parts: (1) detecting the specific target area using a first learning model, and (2) detecting the captured area using a second learning model. This segmentation allows the system to identify both the complete target region and the actually captured portion, thereby resolving the contradiction between detection precision and information loss on undetected parts.
Solution Approach 2:
The patent introduces an intermediary determination unit that compares the specific target area and captured area to identify the non-captured area. This intermediary component processes the information from both detection models and provides the missing information about undetected parts, eliminating information loss while maintaining detection precision.
2Adaptability or versatility
If conventional techniques distinguish presence of undetected parts, then detection capability is provided, but imaging adjustment cannot be assisted
Solution Approach 1:
The patent implements a feedback mechanism where the determination unit compares the specific target area with the captured area and provides feedback information about the non-captured area. This feedback directly assists imaging adjustment by indicating exactly which areas need to be captured, thereby improving ease of operation while maintaining detection capability.
Solution Approach 2:
The patent performs preliminary detection of the specific target area and captured area before final imaging adjustment. By pre-identifying the non-captured areas through the determination unit, the system prepares necessary information in advance to guide imaging adjustments, making the operation easier while maintaining comprehensive detection capability.
3Loss of information
If detailed area detection is performed, then complete capture information is obtained, but processing load increases
Solution Approach 1:
The patent segments the detection process into two specialized models: a first learning model for detecting the specific target area and a second learning model for detecting the captured area. This segmentation allows each model to focus on a specific task, improving information completeness while managing processing load through specialized, optimized detection functions.
Solution Approach 2:
The patent applies partial action by using two separate detection models that each handle a specific aspect of the detection task. Rather than using one overly complex model to handle all detection requirements, the system uses two simpler, specialized models that collectively provide complete information, thereby reducing overall processing load while maintaining information completeness.
Data Source
AI summary
According to an embodiment, an information processing device includes a specific target area detection unit, a captured area detection unit, and a determination unit. The specific target area detection unit detects a specific target area of a specific target from a taken image. The captured area detection unit detects a captured area of the specific target from the taken image. The determination unit determines a non-captured area of the specific target, based on the specific target area and the captured area.