Dynamic Perspective Distortion Correction for Wide FOV Cameras
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Solution Overview
Problem
Wide field of view (FOV) cameras experience perspective distortion, particularly affecting human faces and objects near the edges of the frame, making them unsuitable for portraits and group photos, while standard lenses have limited FOV, making them inadequate for landscapes and larger groups, leading to suboptimal image capture in videoconferencing and photography.
Innovation Solution
The implementation of a system that dynamically applies geometric and fisheye distortion corrections to wide FOV video image streams, adjusting based on the composition and movement of subjects within the scene, to produce an output image stream with any desired FOV, while minimizing processing cycles and power consumption, and accounting for device tilt and invalid pixels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If wide angle lenses are used for group and landscape photography, then field of view is improved, but perspective distortion occurs making them unsuitable for portraits
Solution Approach 1:
The system dynamically changes distortion correction parameters based on the detected field of view and composition of the scene. By adjusting the distortion correction strength according to whether subjects are in the center or edges of the frame, the system maintains natural appearance while preserving wide angle field of view benefits
Solution Approach 2:
The distortion correction is made dynamic rather than static. The system continuously adapts the correction level based on real-time analysis of subject position, movement, and composition, allowing the same camera to optimize for both portraits and landscapes by changing correction parameters on-the-fly
2Manufacturing precision
If standard lenses with limited FOV are used for portraits and videoconferencing, then perspective distortion is reduced, but field of view becomes insufficient for landscapes and large groups
Solution Approach 1:
The system makes a single wide angle camera universal by applying software-based distortion correction that can adapt to different shooting scenarios. The same hardware can function as both a wide angle lens for landscapes and a portrait-optimized lens by dynamically adjusting correction parameters based on scene analysis
3Manufacturing precision
If distortion correction is applied to wide FOV video streams, then image quality is improved, but processing complexity and power consumption increase
Solution Approach 1:
The video stream is processed by identifying and segmenting regions of interest (such as faces or subjects) and applying distortion correction selectively to those regions rather than uniformly to the entire frame. This reduces processing complexity while maintaining image quality where it matters most
4Manufacturing precision
If distortion correction is applied to wide FOV video streams, then perspective accuracy is improved, but power consumption increases
Solution Approach 1:
Instead of applying full distortion correction to the entire video stream, the system applies partial correction only to necessary regions (such as detected subjects or central areas of the frame). This selective approach maintains perspective accuracy for important elements while significantly reducing overall power consumption
Data Source
AI summary
Devices, methods, and non-transitory program storage devices are disclosed herein to provide for improved perspective distortion correction for wide field of view (FOV) video image streams. The techniques disclosed herein may be configured, such that the distortion correction applied to requested region of interest (ROI) portions taken from individual images of the wide FOV video image stream smoothly transitions between applying different distortion correction to ROIs, depending on their respective FOVs. In particular, the techniques disclosed herein may modify the types and/or amounts of perspective distortion correction applied, based on the FOVs of the ROIs, as well as their location within the original wide FOV video image stream. In some cases, additional perspective distortion correction may also be applied to account for tilt in an image capture device as the wide FOV video image stream is being captured and/or the unwanted inclusion of “invalid” pixels from the wide FOV image.