Image Processing Apparatus Depth Reliability Determination
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Solution Overview
Problem
Existing image processing methods face challenges in accurately identifying target areas for processing due to unreliable depth information, particularly in low-luminance or complex areas, leading to decreased accuracy and real-time processing limitations.
Innovation Solution
An image processing apparatus and method that utilize reliability information to determine target areas for processing, incorporating depth information, luminance, color, and texture models to enhance accuracy, allowing for more precise identification and processing of image areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If depth information is used to identify target areas for image processing, then the identification process is simplified, but the accuracy decreases due to low reliability of depth information in certain areas
Solution Approach 1:
The patent combines depth information with other information (luminance, color, texture) to determine target areas. The determination unit integrates multiple information sources to compensate for the low reliability of depth information alone, thereby maintaining identification simplicity while improving accuracy.
Solution Approach 2:
The patent uses a composite approach by combining multiple types of information (depth, luminance, color, texture) similar to how composite materials combine different properties. This multi-information fusion creates a more reliable determination basis than any single information type alone.
2Measurement precision
If multiple information types (luminance, color, texture) are combined to determine target areas, then identification accuracy improves, but processing complexity increases
Solution Approach 1:
The determination unit serves multiple functions by processing various information types (depth, luminance, color, texture) through a single integrated component. This multi-functional design improves identification accuracy without proportionally increasing overall system complexity.
Solution Approach 2:
The patent changes the parameters used for determination from relying solely on depth information to using multiple parameters (luminance, color, texture) in combination with depth. This parameter diversification improves accuracy while the systematic approach manages complexity.
3Productivity
If depth information with low reliability is used, then processing speed is maintained, but identification accuracy decreases
Solution Approach 1:
The system performs preliminary determination using depth information quickly, then supplements with other information types for areas where depth reliability is low. This staged approach maintains overall processing speed while improving accuracy for critical areas.
Solution Approach 2:
The patent applies different determination strategies to different areas based on depth information reliability. For areas with high reliability, simple depth-based determination is used; for areas with low reliability, multi-information determination is applied, optimizing both speed and accuracy locally.
Data Source
AI summary
The present technology relates to an image processing apparatus and method that allow to more accurately identify image processing target areas in an image. An image processing apparatus of the present technology includes a determination unit that determines, on the basis of reliability information indicating reliability of depth information, whether to make a determination on the basis of the depth information, the determination being as to whether an area is a target area for predetermined image processing, and the depth information indicating a depth of an image. The present technology can be applied to, for example, an imaging apparatus that captures a subject, a server that processes a captured image, etc.