A Stereo Image Generation Method Based on Improved Bayesian Model

A Bayesian model, stereo image technology, applied in the field of image processing, can solve the problem of not being able to filter input images, not directly applying stereo images, controlling parallax, etc.

Inactive Publication Date: 2016-11-09
BEIJING INSTITUTE OF TECHNOLOGYGY +1
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AI Technical Summary

Problems solved by technology

However, this method does not consider the generation of stereoscopic images, and cannot control parallax pixel by pixel, and cannot filter input images, so it cannot be directly applied to the generation of stereoscopic images.

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  • A Stereo Image Generation Method Based on Improved Bayesian Model
  • A Stereo Image Generation Method Based on Improved Bayesian Model
  • A Stereo Image Generation Method Based on Improved Bayesian Model

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Embodiment Construction

[0049] The implementation of the method of the present invention will be described in detail below with reference to the accompanying drawings.

[0050] In this embodiment, a stereo image generation method based on an improved Bayesian model is used to generate a stereo image, and the operation flow is as follows: figure 1 As shown, it includes the following steps:

[0051] Step 1. Obtain the pixel-by-pixel viewpoint position of the composite image through the reference image, such as figure 2 Shown.

[0052] Step 1.1: Calculate the reference image v by formula (1) 0 Normalized parallax d for each pixel in 0 (x), normalized parallax d 0 (x) From the standard depth z of each pixel in the reference image 0 (x) and the imaging focal length f of the reference image are obtained.

[0053] Step 1.2: Given synthetic image u and reference image v 0 The pixel-by-pixel image disparity D(x) of the composite image and the reference image are on the same plane, and the corresponding imaging plane...

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Abstract

The invention belongs to the field of image processing, particularly relates to a three-dimensional image generating method based on an improved Bayesian model, and aims to generate three-dimensional images more efficiently and intuitively. The method comprises the following steps: firstly, calculating the per-pixel viewpoint position of a synthesized view angle with given parallax; secondly, generating a synthesized image through the improved Bayes model; and lastly, generating a red-blue three-dimensional image with a reference image and the synthesized image. Compared with an existing method, the three-dimensional image generating method based on the improved Bayesian model provided by the invention has remarkable advantages on the aspects of time performance, quality of generated images and universality. Through adoption of the method, the parallax can be specified intuitively pixel by pixel, and post-processing of the three-dimensional image is facilitated. The method has a wide application prospect.

Description

Technical field [0001] The invention belongs to the field of image processing, and specifically relates to a stereo image generation method based on an improved Bayesian model, which can generate a stereo image more efficiently and intuitively. Background technique [0002] With the popularity and popularity of 3D TV, movies and games, more and more 3D content is produced, and the new generation of stereoscopic display devices also makes these 3D content enter the lives of ordinary consumers. However, due to the complexity of stereoscopic display equipment and the lack of post-processing tools for stereoscopic materials, creating credible and comfortable 3D content is still a challenging task. Traditional tools and processing procedures cannot be used well for 3D. Content processing. Therefore, we need to rethink the process of 3D content creation and editing, and then invent a more concise and effective 3D content post-processing method. [0003] Binocular disparity is the most ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N13/00
Inventor 张磊张驭航黄华
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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