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A Content-Aware Ambient Light Sampling Method

A content-aware and ambient light technology, applied in 3D image processing, image data processing, instruments, etc., can solve the problems of missing ambient light images, uneven high dynamic range parts, etc., to reduce the number of sampling points and stabilize the rendering effect , to strengthen the effect of rationality

Active Publication Date: 2017-01-04
TIANJIN UNIV
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AI Technical Summary

Problems solved by technology

Simple threshold segmentation can lose non-uniform high dynamic range parts in ambient light images

Method used

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Embodiment Construction

[0035] In order to better understand the content, features and effects of the present invention, the technology of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0036] like figure 1 Shown is the approximate adaptive Mean-shift clustering flow chart of the present invention. The approximate adaptive mean-shift clustering process mainly includes steps such as high dynamic range image reading, tone mapping processing, setting the iteration window size, mean-shift clustering, and pruning too small regions. The process is adaptive to the separation and merging mechanism The region segmentation result information of the ambient light image is provided.

[0037] figure 2 As shown, it is a flow chart of the self-adaptive separation mechanism of the present invention. This process mainly splits a large-area high-light area to make the energy evenly distributed. The adaptive separation mechanism includes the st...

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Abstract

The invention discloses a content-aware ambient light sampling method. The content-aware ambient light sampling method includes the first step of applying the tone mapping technology to an inputted high-dynamic ambient light image so as to achieve similar self-adaption Mean-shift clustering of the ambient light image, and the second step of achieving a region recombination mechanism of self-adaption separation and combination, namely, according to the result of the self-adaption Mean-shift clustering, conducting importance measurement on all regions, and conducting a series of separation and combination on the regions so that the importance measurement values of all the regions can be similar as much as possible. The first step specifically includes the step of tone mapping processing of the ambient light image, and the step of self-adaption Mean-shift clustering of the ambient light image. The second step specifically includes the step of self-adaption separation, and the step of self-adaption combination. Sampling points with the same number are adopted, the rendering effect is more vivid, and when the number of the sampling points is lowered, the rendering effect is still stable.

Description

technical field [0001] The invention belongs to the fields of computer graphics and computer vision, and relates to technologies such as Mean-shift clustering, Tone-Mapping and ambient light sampling. The invention can be used in practical applications such as virtual reality, movie special effects, games and animation processing. Background technique [0002] The rendering of 3D virtual scenes can apply real-world lighting information, for example, using HDR ambient light images as light sources to improve the authenticity of rendering effects. At the same time, large-scale calculations need to face the consumption of space and time. In order to solve this problem, the ambient light sampling technology uses a limited number of directional light sources to approximate the ambient light. In this way, the calculation scale is greatly reduced, and the calculation time and storage requirements of 3D scene rendering are greatly saved. In order to maintain the realism of renderin...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T15/00
Inventor 万亮冯伟杨英
Owner TIANJIN UNIV
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