Photon collection method and photon mapping rendering method based on shared video memory optimization

Abstract

The invention discloses a photon collection method and a photon mapping rendering method based on shared video memory optimization. The method for collecting photons of the present invention comprises: 1) dividing the entire three-dimensional scene to be rendered into hash grids; 2) the light source emits photons, and when the photons intersect with the diffuse reflection surface in the scene, record the position of the photons, Energy and incident direction information; 3) According to the position of the photon in the record, calculate the corresponding hash value, reorder the photons according to the order of the hash value from small to large and generate an index array; 4) Starting from the viewpoint, to each The pixel emits light, calculates the first intersection point p on the path with the diffuse reflection surface of the scene, and records the position and incident direction of the intersection point p; 5) divides the pixels to be calculated into groups and assigns a thread to each pixel; 6) judges a Whether the hit points of the pixels in the group are located in the same grid, and if they are located in the same grid, shared video memory is used for acceleration.

Description

technical field [0001] The invention belongs to the technical field of software, and relates to a photon collection method and a photon mapping rendering method based on shared video memory optimization in photon mapping. Background technique [0002] Ray tracing is a solution to solve the problem of global illumination in high-fidelity rendering, but its inherent computational complexity requires the Monte Carlo method to simulate the illumination of complex surface materials. The defect of the Monte Carlo method is the noise problem when the number of samples is insufficient. Even if a powerful neural network noise reduction model is used, it is still difficult to obtain good results directly due to insufficient information. [0003] The photon mapping algorithm is one of many variants of the ray tracing algorithm. It originated from reverse ray tracing, and then Jensen improved the algorithm using k-nearest neighbor estimation (Jensen H.W.: Global illumination using phot...

AI Technical Summary

Problems solved by technology

Unlike the drawbacks of Monte Carlo ray tracing, the photon-mapping method is prone to bias, a phenomenon known as ambiguity

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