2D to 3D Image Conversion via Perspective Transformation
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Solution Overview
Problem
Existing 3D camera devices compromise image resolution and definition when converting 2D images to 3D, affecting the overall 3D imaging effect due to the need for two cameras capturing images in perpendicular polarization directions.
Innovation Solution
A method and device that perform perspective transformation on a 2D image to create left-eye and right-eye images, adjusting their distance to create binocular parallax and convergence angles, allowing for stereoscopic vision without reducing image quality or resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If two cameras with perpendicular polarization directions are used to capture 3D images, then stereoscopic vision is achieved, but image resolution and definition are reduced to half of the actual image
Solution Approach 1:
The patent uses a single camera to capture a 2D image, then creates left-eye and right-eye images through perspective transformation and mirroring operations. This copying approach generates synthetic binocular views from a single source image, avoiding the resolution loss inherent in splitting a single image across two polarization channels while maintaining stereoscopic visualization capability
Solution Approach 2:
The patent replaces the mechanical dual-camera optical system with a computational image processing approach. Instead of using two physical cameras with perpendicular polarizers to capture 3D images, the system uses one camera combined with perspective transformation algorithms to synthesize the left and right eye views, substituting optical hardware complexity with software-based image manipulation
2Adaptability or versatility
If perspective transformation is performed on 2D image to create left-eye and right-eye images, then binocular parallax is formed, but image processing complexity increases
Solution Approach 1:
The patent applies perspective transformation by modifying geometric parameters of the 2D image - specifically scaling the width of image regions corresponding to left and right eye views while maintaining height. This parameter-based approach systematically creates binocular parallax by adjusting horizontal dimensions according to convergence angle requirements, forming left and right eye images with appropriate spatial relationships without requiring complex multi-step processing
Data Source
AI summary
The present disclosure discloses a method and a device for converting two-dimensional (2D) images into three-dimensional (3D) images and a 3D imaging system, wherein the method comprises the following steps: acquiring 2D image to be processed; performing perspective transformation on the 2D image to obtain a left-eye image and a right-eye image respectively; adjusting a distance between the left-eye image and the right-eye image according to the result of perspective transformation; and synthesizing the left-eye image and the right-eye image after the distance adjustment. In embodiments of the present disclosure, binocular parallax images are created by performing perspective transformation on the 2D image to be processed; the distance between the left-eye image and the right-eye image after perspective transformation is adjusted to form binocular parallax and create a convergence angle, so that the images observed by naked eyes are located at different depths, thus different stereoscopic effects may be seen. The image transformation is performed on the 2D image without involving the resolution and definition of the image, so that the image quality of the 3D imaged image is the same as that of the original 2D image and the 3D imaging effect is not affected.