Adaptive Image Warping for Wide-Angle Camera Perspective Correction
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Solution Overview
Problem
Existing camera systems in meeting environments suffer from image distortion due to wide-angle lenses, fail to adjust perspective angles to include all participants, and lack adjustable settings for varying room uses, leading to suboptimal video feeds and inclusivity issues.
Innovation Solution
A smart camera system using AI and adaptive image warping techniques to analyze the meeting environment, adjust camera perspectives, and apply image transformations to correct distortions, ensuring all participants are visible and content is clear, regardless of room layout or purpose.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of moving object
If wide-angle or fisheye lenses are used to capture a larger field of view, then the field of view is improved, but image distortion occurs making objects appear stretched or distorted
Solution Approach 1:
The patent applies image warping transformations that dynamically adjust geometric parameters of the captured image. By modifying pixel coordinates and applying perspective correction algorithms, the system transforms distorted wide-angle images into corrected views that maintain the broad field of view while eliminating stretching and curvature artifacts.
Solution Approach 2:
Instead of using multiple physical cameras or mechanically adjusting lens elements to correct distortion, the patent substitutes a computational image processing approach. The image warping unit processes the captured frames digitally to correct perspective distortion, replacing complex mechanical correction systems with algorithmic transformations.
2Device complexity
If a fixed camera position is used, then the device complexity is reduced, but not all participants may be visible on the video stream
Solution Approach 1:
The patent implements dynamic image warping that adjusts the effective viewing angle and perspective in real-time based on detected participant positions. The system continuously analyzes video frames to identify participants and dynamically modifies the warped output to ensure all participants remain visible, creating a flexible viewing experience from a fixed camera position.
Solution Approach 2:
The image warping unit serves multiple functions: it corrects distortion, adjusts perspective angles, and ensures inclusive visibility of all participants. This single computational module handles what would otherwise require multiple cameras or complex mechanical adjustment systems, providing universal adaptability to different meeting room layouts and participant configurations.
3Ease of operation
If camera settings are fixed, then the ease of operation is improved, but the system cannot adapt to different meeting room purposes and layouts
Solution Approach 1:
The system performs self-adjustment by automatically analyzing video content to detect participants, objects of interest, and room layout features. The image warping parameters are dynamically modified based on this analysis, allowing the camera to adapt to different meeting purposes (presentations, discussions, training) and room configurations without requiring manual reconfiguration by users.
Solution Approach 2:
The system continuously monitors the video stream and uses feedback from participant positions, gestures, and focus of attention to adjust image warping parameters. This closed-loop control ensures the camera automatically adapts to changing meeting dynamics and room usage patterns while maintaining ease of operation with no user intervention required.
4Ease of manufacture
If cameras are placed in limited space locations, then the ease of installation is improved, but the view of the meeting room may not be optimal
Solution Approach 1:
The patent applies aggressive image warping and perspective correction algorithms that can compensate for suboptimal camera positioning. By dynamically adjusting transformation parameters based on detected participant positions and room geometry, the system recovers optimal viewing quality even when the camera is installed in constrained locations such as corners or elevated positions.
Data Source
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AI summary
A videoconferencing system for adjusting perspective views using adaptive image warping includes an image warping unit including at least one processor. The at least one processor is programmed to: receive an overview video stream from a camera in the videoconferencing system; determine, based on analysis of at least one test frame from the overview video stream, at least one region of interest represented within the at least one test frame; determine one or more indicators of actual camera perspective relative to the at least one region of interest; determine a target camera perspective relative to the at least one region of interest, wherein the target camera perspective is different from the actual camera perspective; determine at least one image transformation based on a difference between the actual camera perspective and the target camera perspective; apply the at least one image transformation to one or more subframe regions of a plurality of image frames of the overview stream to generate at least one image warped primary video stream; and cause the at least one image warped primary video stream to be shown on a display.