Coded Imaging Depth Mapping With Region-Selective Decoding
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Solution Overview
Problem
The DFD technique requires a large amount of operations and long operation times to secure necessary accuracy in depth estimation, necessitating a reduction in operations while maintaining estimation accuracy.
Innovation Solution
An imaging apparatus and method that performs high-accuracy decoding on a partial region of a captured image and low-accuracy decoding on the remaining regions, reducing overall operations and time by selectively applying different point spread functions based on region importance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-accuracy decoding is performed on the entire captured image to ensure depth estimation accuracy, then measurement precision is improved, but productivity deteriorates due to large amount of operations and long operation time
Solution Approach 1:
The captured image is divided into multiple regions, and different decoding processes are applied to different regions. High-accuracy decoding is performed on specific regions of interest while low-accuracy or simplified decoding is applied to other regions, thereby reducing overall computational operations while maintaining necessary depth estimation accuracy in critical areas.
Solution Approach 2:
Different quality levels of decoding are applied to different regions of the image based on their importance. Regions requiring high depth estimation accuracy undergo full high-accuracy decoding, while less critical regions use simplified decoding methods, optimizing the balance between overall accuracy and processing speed.
2Measurement precision
If high-accuracy decoding is performed on the entire captured image, then measurement precision is improved, but loss of time increases due to long operation time
Solution Approach 1:
The image is segmented into multiple regions with different decoding priorities. By applying high-accuracy decoding only to necessary regions and using simplified methods for others, the total decoding time is reduced while maintaining depth estimation accuracy where it matters most.
Solution Approach 2:
Instead of applying full high-accuracy decoding to the entire image, the method applies decoding actions selectively and partially to specific regions. This partial action approach reduces unnecessary computational time while ensuring adequate depth estimation accuracy in regions where it is required.
Data Source
AI summary
An arithmetic control unit executes: an imaging process of controlling a coded imaging system to capture an image of a subject by coded imaging and obtain a first captured image; an image generation process of reducing resolution of the first captured image to obtain a second captured image; a partial region setting process of setting a partial region in the first captured image; a process of performing a first decoding process on a partial image corresponding to the partial region in the first captured image to obtain a first depth map; and a process of performing a second decoding process on the second captured image to obtain a second depth map.