Depth Adaptive Video Conferencing Camera System
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Solution Overview
Problem
Video conferencing systems face challenges in providing clear and coherent video images when participants are free to move around, as existing camera arrangements often result in distorted or incomplete images due to inadequate perspective capture.
Innovation Solution
A depth adaptive video conferencing system that combines panoramic image data from centrally mounted cameras with close-up image data from distributed cameras, dynamically adjusting the field of view and zoom based on participant distance to maintain a consistent and coherent image, allowing for both whole-room and face-to-face modes of interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single camera or fixed camera arrangement is used, then the device complexity is reduced, but the video image quality and perspective accuracy deteriorate when participants move around
Solution Approach 1:
The system divides the camera arrangement into multiple segments: a first camera for capturing panoramic images of the entire room and a second camera for capturing close-up images. This segmentation allows each camera to specialize in specific viewing scenarios, maintaining high video quality across different participant positions without requiring an overly complex single-camera system
Solution Approach 2:
The camera system is designed to perform multiple functions by capturing both panoramic and close-up views with different cameras. The system can adaptively switch between wide-area coverage and detailed close-ups based on participant position, making the overall system versatile for various conferencing scenarios without requiring separate dedicated systems
2Area of stationary object
If cameras capture wide panoramic views to cover the entire room, then the field of view is improved, but the close-up detail and face-to-face interaction quality deteriorate
Solution Approach 1:
The visual capture system is segmented into two functional cameras: the first camera provides wide panoramic coverage of the entire room, while the second camera specializes in capturing high-quality close-up images. This segmentation allows both wide field of view and detailed close-ups to coexist without compromising either aspect
Solution Approach 2:
Different parts of the imaging system are assigned different quality characteristics appropriate to their function. The first camera is optimized for wide-area coverage with panoramic views, while the second camera is optimized for high-detail close-up capture. Each camera's local quality is tailored to its specific viewing requirements
3Manufacturing precision
If the camera focuses on close-up views for face-to-face interaction, then the image detail is improved, but the ability to show group dynamics and whole-room context deteriorates
Solution Approach 1:
The imaging system segments the visual capture function between two cameras: one dedicated to close-up detailed views for face-to-face interaction quality, and another dedicated to wide panoramic views for capturing group dynamics and room context. This segmentation ensures both image detail and visible area requirements are met simultaneously
4Ease of operation
If participants are allowed to move freely around the room, then the ease of operation is improved, but the video image coherence and perspective consistency deteriorate
Solution Approach 1:
The system dynamically adapts its imaging behavior based on participant position and movement. By detecting where participants are located in the room, the system can switch between panoramic and close-up views, adjust camera angles, and maintain coherent and consistent perspective representations even as participants move freely throughout the space
Data Source
AI summary
A method is provided in one example and includes capturing panoramic image data through a first camera in a camera cluster, and capturing close-up image data through a second camera included as part of a spaced array of cameras. The presence of a user in a field of view of the second camera can be detected. The close-up image data and the panoramic image data can be combined to form a combined image. In more specific embodiments, the detecting includes evaluating a distance between the user and the second camera. The combined image can reflect a removal of a portion of panoramic image data associated with the user in a video conferencing environment.