Binocular Depth Calculation Using Rhombic Pixel Areas
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Solution Overview
Problem
Current stereo matching algorithms in computer vision are computationally burdensome, resulting in significant calculating time and inefficiencies.
Innovation Solution
An image depth calculating device comprising modules such as receiving, establishing, pixel calculating, and depth calculating modules, which processes binocular video by establishing rhombic areas and calculating pixel values to determine depth information efficiently, utilizing a method that compares total pixel values across synchronized frames to reduce computational load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current stereo matching algorithms are used to calculate depth information, then depth accuracy can be maintained, but computational burden increases significantly and calculating time is excessive
Solution Approach 1:
The patent divides the image processing into multiple stages: coarse depth map generation first, then selective refinement only in regions where depth information is needed. This segmentation reduces the overall computational burden while maintaining depth accuracy in critical areas.
Solution Approach 2:
The patent applies different processing qualities to different regions of the image. High-precision stereo matching is applied only to regions requiring accurate depth information, while other regions use lower-precision methods, thus reducing computational burden while maintaining necessary depth accuracy.
2Measurement precision
If current stereo matching algorithms are used to calculate depth information, then depth accuracy can be maintained, but calculating time increases significantly
Solution Approach 1:
The patent performs preliminary processing by generating a coarse depth map first using simplified methods, then uses this preliminary result to guide subsequent refined processing. This preliminary action reduces the calculating time for the overall depth calculation while maintaining accuracy where needed.
Solution Approach 2:
The patent applies full-precision stereo matching only partially to specific regions rather than the entire image. By limiting excessive computation to only necessary areas, the calculating time is reduced while depth accuracy is maintained in critical regions.
3Measurement precision
If traditional binocular video processing methods are used, then depth information can be obtained, but processing efficiency is low and computational load is high
Solution Approach 1:
The patent segments the binocular video processing into distinct modules: synchronization, coarse depth calculation, region identification, and selective refinement. This segmentation improves processing efficiency by allowing parallel processing and optimizing each stage independently while maintaining depth information accuracy.
Solution Approach 2:
The patent dynamically adjusts processing parameters such as block sizes, matching windows, and refinement levels based on image content and required depth precision. This parameter optimization improves processing efficiency without sacrificing depth information accuracy in critical areas.
Data Source
AI summary
An image depth calculating device, which can calculate depth information of a binocular video with reduced computation, includes multiple modules. Modules receives a first frame information set that corresponds to a first frame time of the binocular video and establishes a first rhombic area that centers on a first pixel in a first viewing angle frame, to calculate a total pixel value of the first rhombic area. Modules further establishes a plurality of second rhombic areas that center on a plurality of second pixels of a pixel area in a second viewing angle frame to calculate a second total pixel value of each of the plurality of second rhombic areas. A depth calculating module compares the first total pixel value with each second total pixel value and calculates first frame depth information according to the result. An image depth calculating method is also provided.