Separable Distortion Disparity for Accurate 3D Imaging
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Solution Overview
Problem
Electronic devices, such as wearable eyewear and mobile devices, face challenges in accurately presenting three-dimensional images due to distortion caused by camera lenses, which interferes with the reproduction of scenes on displays.
Innovation Solution
A separable distortion disparity determination system using two visible light cameras with overlapping fields of view captures images from different viewpoints, processes them to generate corrected images, and determines disparity correspondence to create accurate three-dimensional depth images, addressing lens distortion and enabling immersive experiences like virtual reality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera lenses are used to capture images in wearable devices, then image gathering capability is improved, but lens distortion causes inaccurate scene reproduction on display
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing distortion correction mappings for different focal lengths before image capture. The system determines the actual focal length used, retrieves the corresponding pre-computed correction data, and applies it to the captured image. This approach avoids real-time complex distortion calculations, enabling accurate scene reproduction while maintaining processing efficiency.
2Measurement precision
If distortion correction is applied to images, then scene reproduction accuracy is improved, but processing complexity increases
Solution Approach 1:
The system performs distortion correction parameters calculation and storage in advance for multiple focal lengths. When processing images, it simply retrieves the pre-computed correction data based on the actual focal length and applies it directly. This preliminary preparation significantly reduces real-time processing complexity while maintaining high image accuracy.
Solution Approach 2:
The patent creates correction mapping copies for different focal lengths and stores them for quick retrieval. Instead of recalculating distortion corrections for each image, the system uses these pre-generated correction copies, reducing processing complexity while maintaining accuracy.
3Adaptability or versatility
If multiple cameras with different focal lengths are used, then imaging versatility is improved, but distortion variation complicates disparity determination
Solution Approach 1:
The patent applies local quality by determining the actual focal length used for each camera and applying focal-length-specific distortion correction parameters to each image. This localized correction approach accounts for the different distortion characteristics of each focal length, enabling accurate disparity determination across multiple cameras with varying imaging parameters.
Data Source
AI summary
Systems and methods for determining disparity between two images are disclosed. Such systems and methods include obtaining a first pixel image of a scene from a first viewpoint, obtaining a second pixel image of the scene from a second viewpoint (e.g., separate from the first viewpoint in a camera baseline direction such as horizontal or vertical), modifying the first and second pixel images using component-separated correction to create respective first and second corrected pixel images maintaining pixel scene correspondence in the camera baseline direction from between the first and second pixel images to between the first and second corrected pixel images, determining pixel pairs from corresponding pixels between the first and second corrected pixel images in the camera baseline direction, and determining disparity correspondence for each of the determined pixel pairs from pixel locations in the first and second pixel images corresponding to respective pixel locations of the pixel pairs in the first and second corrected pixel images.