Near Lossless Dense Light Field Compression Using Generalized Neural Radiance Field

• Project/Area Number: 24K20797
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 61010:Perceptual information processing-related
• Research Institution: Shibaura Institute of Technology
• Principal Investigator: Phan・Xuan Tan 芝浦工業大学, 工学部, 准教授 (60837293)
• Project Period (FY): 2024-04-01 – 2026-03-31
• Project Status: Granted (Fiscal Year 2024)
• Budget Amount: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000); Fiscal Year 2025: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000); Fiscal Year 2024: ¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
• Keywords: Light Field compression / View Synthesis / Depth Estimation / 3D Reconstruction / Machine learning

Outline of Research at the Start

Light Field imaging potentially provides more immersive and closer to reality multimedia experience to end-users for various applications. However, it introduces huge amount of high-dimensional data. This research aim at designing a novel coding scheme to efficiently compress Light Field data.