Analytical Projection for Wide-Angle Video Distortion Correction
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Solution Overview
Problem
Cameras used in communication settings, such as conference rooms, often create geometric distortion of objects due to wide-angle lenses, leading to unnatural and unsatisfactory video image displays, especially when digital effects like pan, tilt, and zoom are applied.
Innovation Solution
A method and system that apply analytical projection types to correct geometric distortion in video streams by mapping pixels using computational methods, without requiring physical movement of the camera, while applying digital effects like pan, tilt, or zoom.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of moving object
If wide-angle lenses are used to capture video images, then the field of view is increased, but geometric distortion of objects occurs
Solution Approach 1:
The patent replaces mechanical/optical distortion correction mechanisms with a computational approach. By using analytical projection algorithms, the system digitally corrects geometric distortion in the captured video images without requiring physical movement or optical mechanism changes. The processor applies mathematical transformations to map distorted pixels to corrected positions, effectively substituting computational methods for traditional mechanical distortion correction.
2Manufacturing precision
If digital effects (pan, tilt, zoom) are applied to correct distortion, then geometric accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent employs parameter changes by utilizing analytical projection transformations that modify pixel coordinate parameters. The system applies mathematical functions (such as perspective projection equations) to transform image coordinates, enabling geometric correction through parameter transformation rather than complex computational algorithms. This approach maintains geometric accuracy while reducing computational complexity by using established analytical models.
3Shape
If traditional distortion correction methods are used, then geometric distortion is reduced, but loss of image resolution occurs
Solution Approach 1:
The patent applies preliminary action by performing distortion correction through analytical projection before any subsequent image processing or compression steps. The correction is applied to the full-resolution input images, ensuring that the geometric correction does not introduce additional resolution loss. By establishing the correct geometric transformation early in the processing pipeline, the system preserves image quality while achieving distortion correction.
Data Source
AI summary
A method for processing a stream of input images is provided. The method includes receiving a stream of input images, and applying a digital effect to the stream of input images. The digital effect is one or more from the group of: a pan, a tilt, or a zoom, of the stream of input images. The method further includes selecting an analytical projection type, from a plurality of analytical projection types, that maps pixels of the input stream of images to projected pixels of a modified stream of images, generating the modified stream of images, using the selected analytical projection type, thereby correcting a geometric distortion within the stream of input images, while applying the digital effect, and displaying the modified stream of images.