Free Viewpoint Video Capture Using Selective Sensor Readout
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Solution Overview
Problem
Existing free viewpoint video generation techniques face limitations in achieving high-resolution coverage of large areas and maintaining accurate calibration over time, especially in dynamic scenes, due to mechanical and optical instabilities, and the need for costly multi-camera networks or PTZ stages.
Innovation Solution
A method that selectively reads pixels from a network of image capture devices to synthesize a viewpoint at a predetermined frame rate by defining an operational volume based on sensor output frame rate and region of interest, using patch-based alignment for calibration and tracking, allowing for efficient image data capture and stabilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If cameras are optically zoomed to a particular region of interest to allow higher resolution free viewpoint video to be generated, then the resolution of the free viewpoint video is improved, but the coverage area is reduced
Solution Approach 1:
The patent divides the camera network into multiple zones with different sampling rates. Regions of interest (ROI) are segmented from the rest of the scene, allowing high-resolution capture in specific areas while using lower sampling rates in other areas. This enables high resolution in ROIs without requiring the entire coverage area to be captured at the same high resolution.
Solution Approach 2:
The patent implements local quality by applying different sampling strategies to different spatial regions. High sampling rates are applied locally to regions of interest where high resolution is needed, while lower sampling rates are used in regions where high resolution is not critical. This creates a spatially varying quality profile that optimizes the balance between resolution and coverage.
2Manufacturing precision
If multiple camera networks are used to cover multiple areas at high resolution for free viewpoint video, then the resolution and coverage are improved, but the system cost increases
Solution Approach 1:
Instead of deploying multiple complete camera networks, the patent segments the single large camera network into multiple operational zones with different sampling characteristics. This virtual segmentation allows the system to achieve multi-region high-resolution coverage using one physical network, reducing hardware costs while maintaining the capability to serve multiple areas at high resolution.
Solution Approach 2:
The patent makes a single camera network universal by enabling it to serve multiple functions and cover multiple regions of interest simultaneously. Through software-controlled selective sampling, the same physical infrastructure can adapt to cover different areas at different resolutions, replacing the need for multiple dedicated camera networks for different regions.
3Adaptability or versatility
If cameras are mounted on PTZ stages to be retargeted during an event, then the adaptability to different regions of interest is improved, but the mechanical stability deteriorates
Solution Approach 1:
The patent replaces the mechanical PTZ stage system with a software-based selective sampling system. Instead of physically moving cameras to retarget them, the system uses software to select which pixels from fixed cameras should be captured and processed. This substitution eliminates mechanical instability while maintaining the ability to retarget regions of interest through digital pixel selection and processing.
Solution Approach 2:
The patent creates virtual copies of camera viewpoints through software processing of pixel data. Instead of physically moving cameras to different positions, the system processes pixel data to synthesize views from different effective positions and angles. This digital copying approach provides retargeting capability without the mechanical instability of physical camera movement.
4Area of stationary object
If the sensor reads out image data for the system volume, then the coverage is improved, but the frame rate decreases below the predetermined frame rate
Solution Approach 1:
The patent segments the sensor readout into different regions with different sampling rates. Regions corresponding to operational volumes are read out at high frame rates, while other regions are either read out at lower frame rates or not read out at all. This spatial segmentation of the readout process allows the system to achieve high frame rates for specific volumes of interest without requiring the entire sensor to operate at that frame rate.
Data Source
AI summary
A method for synthesising a viewpoint, comprising: capturing a scene using a network of cameras, the cameras defining a system volume of the scene, wherein a sensor of one of the cameras has an output frame rate for the system volume below a predetermined frame rate; selecting a portion of the system volume as an operational volume based on the sensor output frame rate, the predetermined frame rate and a region of interest, the operational volume being a portion of the system volume from which image data for the viewpoint can be synthesised at the predetermined frame rate, wherein a frame rate for synthesising a viewpoint outside the operational volume is limited by the output frame rate; reading, from the sensors at the predetermined frame rate, image data corresponding to the operational volume; and synthesising the viewpoint at the predetermined frame rate using the image data.


