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Method of realizing multi-resolution optical field decomposition using GPU parallel computing

A multi-resolution, parallel computing technology, applied in the direction of processor architecture/configuration, etc., to achieve the effect of rapid decomposition

Active Publication Date: 2017-07-28
ZHEJIANG UNIV
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Problems solved by technology

[0015] W is a weight tensor, which is used to set the weight value of each pixel, and ° represents the Hadamard product; the existing light field decomposition algorithm is only suitable for light field reconstruction with a fixed resolution

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  • Method of realizing multi-resolution optical field decomposition using GPU parallel computing
  • Method of realizing multi-resolution optical field decomposition using GPU parallel computing
  • Method of realizing multi-resolution optical field decomposition using GPU parallel computing

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Embodiment Construction

[0033] The present invention will be described in detail below in conjunction with the accompanying drawings, but the present invention is not limited thereto.

[0034] Using traditional reconstruction algorithms to reconstruct a large-scale light field consumes a lot of time. To reduce computation time, we propose a reconstruction algorithm based on the characteristics of the human eye.

[0035] Different from the light field image constructed with a single sampling frequency, the number of pixels in each row of the image is not the same when the non-uniform sampling frequency is used, so it cannot be directly represented by a matrix. For the convenience of calculation, the data in each area are arranged in a column-first manner, and the data sets in different areas are reconstructed in order from outside to inside into a new matrix S(p,q), where (p ,q) is the pixel index of the rearranged image (or called compressed view). First, the discrete spatial resolution of the plan...

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Abstract

The invention discloses a method of realizing multi-resolution optical field decomposition using GPU parallel computing. The method includes the steps of 1) determining a sampling frequency of an optical field; 2) computing all pixel indexes of intersections of light and multilayer liquid crystal; 3) arranging the indexes of the intersections into an index map 1, with the value of a matrix unit being an index value; 4) compressing original three-dimensional scene data according to the index map 1; 5) copying the pixel indexes of a sampling point in the index map 1 to all the pixels of the sampling point in a sampling unit in an LCD or view to form an index map 2; 6) decomposing the compressed optical field using the index map 1 and the index map 2 combined with non-negative matrix factorization to obtain a compressed decomposition pattern; and 7) decompressing the compressed decomposition pattern according to the index map 2 to obtain a decomposition pattern capable of final display on the LCD. The method of the invention enables the majority of computation to be done using the GPU by storing data to be processed in a picture format, thereby achieving fast computing.

Description

technical field [0001] The invention belongs to the field of three-dimensional display technology reconstruction algorithms, and in particular relates to a method for realizing multi-resolution light field decomposition by using GPU parallel computing. Background technique [0002] Gordon.et al proposed a near-eye display technology using multi-layer liquid crystal to reconstruct the light field. This technology breaks down large amounts of light field information into patterns that can be displayed with a multilayer liquid crystal screen. A light field display with a large amount of information is realized by using a display device with a small amount of information. The information utilization rate of the equipment is very high. The equipment of this technology is simple, and the amount of light field information displayed is very large, the resolution of the light field is high, and it has the effect of monocular continuous focusing. However, the light field decomposit...

Claims

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Application Information

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IPC IPC(8): G06T1/20
CPCG06T1/20
Inventor 李海峰刘旭刘玛丽陆弛豪
Owner ZHEJIANG UNIV
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