研究目的
To address the challenges in recording, distributing, and presenting light field data by developing a flexible, scalable light field evaluation system that can model various end-to-end light field systems.
研究成果
The LIFE framework and its implementation demonstrate the feasibility of a flexible, scalable system for light field evaluation, capable of real-time processing and streaming within a 40 ms limit. Future work will expand the system's capabilities, including depth estimation and cloud-assisted rendering, to support a wider range of light field research and applications.
研究不足
The system's current implementation focuses on a prototype with specific camera and computer units, and further development is needed to include various cameras and display technologies. The real-time processing capability is tested under specific conditions and may vary with different configurations.
1:Experimental Design and Method Selection:
The LIFE system framework is designed with three domains (near-camera, cloud, and near-display) to encapsulate processes and devices for flexible light field evaluation.
2:Sample Selection and Data Sources:
Utilizes a multi-camera array including Basler daA1600-60uc cameras and a Kinect v2 for capturing light position and angle.
3:List of Experimental Equipment and Materials:
NVidia Jetson TK1 computers, Basler daA1600-60uc cameras, Kinect v2, and a signal generator for synchronization.
4:Experimental Procedures and Operational Workflow:
Includes image streaming, depth streaming, camera calibration, and configuration processes, with data processing and streaming across domains.
5:Data Analysis Methods:
Latency measurements for frame processing in near-camera and near-display domains to verify real-time processing capabilities.
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