研究目的
Investigating the impact of refocusing supports on reducing HMD sickness and enhancing VR user experience by combining light field technology with a panorama viewing system.
研究成果
The proposed VR HMD system with refocusing supports significantly reduces refocusing time and improves user experience, as evidenced by a 319 times reduction in refocusing time and a 19% increase in MOS scores. Future work includes developing intelligent algorithms for object identification, tiling techniques for viewport determination, and more concise data structures for LF images.
研究不足
The study is limited by the lack of available LF panorama datasets, requiring the authors to stitch LF images themselves. The system's performance could be further optimized with intelligent algorithms for identifying visual objects and a more concise data structure for LF images.
1：Experimental Design and Method Selection:
The study combines light field technology with a panorama viewing system implemented on Unity to provide dynamic depth of field and natural focus effects. The system is integrated with FOVE, an HMD with eye-tracking technology, to track eye movements and collect gazing parameters.
2：Sample Selection and Data Sources:
LF images are captured with a Lytro Illum camera and stitched into a panorama LF image. The eye gaze is collected from the FOVE HMD.
3：List of Experimental Equipment and Materials:
Lytro Illum camera, FOVE HMD, Unity engine, CSMatIO library, OpenCVSharp framework.
4：Experimental Procedures and Operational Workflow:
The system generates refocused images in real-time based on the depth map and eye gaze coordinates. Two optimization techniques are proposed to reduce the refocusing time.
5：Data Analysis Methods:
The study evaluates the system's performance through objective measurements (refocusing time, hit rate, cache-hit time, cache-miss time, depth deviation, PSNR) and a subjective user study (MOS scores).
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