Radiance transfer biclustering for real-time all-frequency biscale rendering.

IEEE Trans Vis Comput Graph

State Key Laboratory of CAD&CG, Zhejiang University, Sigma Building, Zhichun Road 49, Haidian District, Beijing 100190, China.

Published: January 2011

We present a real-time algorithm to render all-frequency radiance transfer at both macroscale and mesoscale. At a mesoscale, the shading is computed on a per-pixel basis by integrating the product of the local incident radiance and a bidirectional texture function. While at a macroscale, the precomputed transfer matrix, which transfers the global incident radiance to the local incident radiance at each vertex, is losslessly compressed by a novel biclustering technique. The biclustering is directly applied on the radiance transfer represented in a pixel basis, on which the BTF is naturally defined. It exploits the coherence in the transfer matrix and a property of matrix element values to reduce both storage and runtime computation cost. Our new algorithm renders at real-time frame rates realistic materials and shadows under all-frequency direct environment lighting. Comparisons show that our algorithm is able to generate images that compare favorably with reference ray tracing results, and has obvious advantages over alternative methods in storage and preprocessing time.

Download full-text PDF

Source
http://dx.doi.org/10.1109/TVCG.2010.58DOI Listing

Publication Analysis

Top Keywords

radiance transfer
12
incident radiance
12
local incident
8
transfer matrix
8
radiance
6
transfer biclustering
4
biclustering real-time
4
real-time all-frequency
4
all-frequency biscale
4
biscale rendering
4

Similar Publications

First Report of Causing Bacterial Blight on Glossy Abelia.

Plant Dis

December 2024

Clemson University - EREC, Plant and Environmental Sciences, 64 Research Road, Blackville, South Carolina, United States, 29817;

Glossy abelia (Abelia × grandiflora) is an evergreen ornamental shrub used in landscaping globally. From Jun. 2023 to Feb.

View Article and Find Full Text PDF

The MAJIS (Moons and Jupiter Imaging Spectrometer) instrument is an imaging spectrometer on-board the JUICE (JUpiter ICy moons Explorer) spacecraft. MAJIS covers the spectral range from 0.5 to 5.

View Article and Find Full Text PDF

Radiative transfer simulations of measurements performed with the Skylight-Blocked Approach (SBA) for water exhibiting diverse optical properties confirmed the non-negligible impact of the depth z of the radiometer shield in the determination of the water-leaving radiance L. In particular, results showed that the shield-shaded water volume lowers the measured L value by a few up to tens of percent as a function of the depth z, water attenuation, and wavelength. The study also confirmed the potential applicability of an analytical correction scheme based on the sole water absorption and backscattering coefficients to support operational SBA measurements, still at the expense of decreased accuracy with increasing depth z and water turbidity.

View Article and Find Full Text PDF

Highly accurate nighttime cloud detection in satellite imagery is challenging due to the absence of visible to near-infrared (0.38-3 μm, VNI) data, which is critical for distinguishing clouds from other ground features. Fortunately, Machine learning (ML) techniques can more effectively leverage the limited wavelength information and show high-accuracy cloud detection based on vast sample volume.

View Article and Find Full Text PDF

3D style transfer aims to generate stylized views of 3D scenes with specified styles, which requires high-quality generating and keeping multi-view consistency. Existing methods still suffer the challenges of high-quality stylization with texture details and stylization with multimodal guidance. In this paper, we reveal that the common training method of stylization with NeRF, which generates stylized multi-view supervision by 2D style transfer models, causes the same object in supervision to show various states (color tone, details, etc.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!