Invention:
The RIFT technology is a novel system and methodology for high-fidelity radiant field reconstruction in view-synthesis and scene representation technology. It can be used in visible spectrum with several systems including digital camera, MRI, infrared, etc. This solution improves upon the process by addressing the root cause of these traditional strategies through advanced Fourier Computed Tomography techniques. A physics-based sampling strategy that overcomes spectral biases inherent in classical spherical sampling methods ensures more accurate reconstructions, particularly in capturing specular reflections and intricate details. The system achieves a reconstruction PSNR score of 44.0458641dB and SSIM score of 0.990, surpassing previous benchmarks and setting a new standard for fidelity and realism in 3D scene representation.
Background:
The technology aims to address the limitations of current regression-based radiance field reconstruction strategies, such as Neural Radiance Fields (NeRFs) and 3D Gaussian Splatting (3DGS). These methods often fall short when it comes to capturing high-frequency details and reflective surfaces, leading to unwanted artifacts in reconstructed images, diminishing the realism and fidelity of the scene. The primary issue lies in the spectral bias towards reconstructing low-frequency functions, resulting in a lack of fidelity and realism in the final scenes. Current solutions utilize classical spherical sampling techniques, but these introduce inherent spectral biases due to inhomogeneous sampling of the Fourier domain. This leads to compromised reconstruction quality and unsatisfactory results, particularly in capturing specular reflections and fine details. RIFT enables high-fidelity, anisotropic radiance field reconstruction, ensuring accurate representation of intricate details and reflective surfaces.
Applications:
- Virtual reality (VR) and augmented reality (AR)
- 3D imaging
- Digital image processing
- Architectural visualization and design
- Laser optics
- Medical imaging and simulations
Advantages:
- Improved reconstruction fidelity ensures more realistic and immersive virtual environments
- Reduced spectral bias
- Increased accuracy in analysis