3D Format Image Detection Using Disparity Map Matching
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Solution Overview
Problem
Existing 3D display technologies face challenges in accurately identifying and processing images in specific 3D formats, which affects the user's immersive experience and the technology's application range.
Innovation Solution
A 3D format image detection method that divides an input image into first and second images based on a 3D image format, generates a disparity map through 3D matching processing, and calculates a matching number to determine if the image conforms to the 3D format, using an electronic apparatus with a processor and storage device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If 3D display technology is used to provide immersive experience, then user experience is improved, but accurate identification of 3D format images becomes necessary and complex
Solution Approach 1:
The input image is divided into two separate images (first image and second image) based on the 3D image format. This segmentation allows the system to process and analyze each eye's view independently, facilitating accurate 3D format identification while maintaining a user-friendly 3D display experience.
Solution Approach 2:
A disparity map is introduced as an intermediary element in the 3D matching processing between the first image and second image. This disparity map serves as a mediator to calculate the matching number and determine whether the input image conforms to the 3D format, simplifying the overall identification process.
2Measurement precision
If image division and 3D matching processing are performed to identify 3D format, then detection accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent replaces complex mechanical or manual image analysis with automated 3D matching processing and computer vision algorithms. The system automatically performs image division, disparity map generation, and matching number calculation, achieving high detection accuracy while reducing the need for manual intervention and simplifying the operational complexity.
3Measurement precision
If disparity map generation and matching number calculation are performed, then 3D format identification accuracy is improved, but computational requirements increase
Solution Approach 1:
The system performs preliminary image division into first image and second image before conducting the full 3D matching processing. This preliminary action organizes the input data in advance, making the subsequent disparity map generation and matching number calculation more efficient and reducing overall computational energy requirements while maintaining high identification accuracy.
Data Source
AI summary
A 3D format image detection method and an electronic apparatus using the same are provided. The 3D format image detection method includes the following steps. A first image and a second image are obtained by splitting an input image according to a 3D image format. A 3D matching processing is performed on the first image and the second image to generate a disparity map of the first image and the second image. The matching number of a plurality of first pixels in the first image matched with a plurality of second pixels in the second image is calculated according to the disparity map. Whether the input image is a 3D format image conforming to the 3D image format is determined according to the matching number.