Method for generating depth maps of images

An image depth and depth map technology, applied in the field of image depth map generation, can solve problems such as the inability to guarantee the quality of the depth map, and achieve the effects of improving accuracy, reducing unidirectional depth, and improving quality

Active Publication Date: 2013-01-16
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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AI Technical Summary

Problems solved by technology

The depth map of a frame of color image can be obtained by manually matting and assigning values, or it can be automatically generated by a computer according to a certain algorit

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  • Method for generating depth maps of images
  • Method for generating depth maps of images
  • Method for generating depth maps of images

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Embodiment Construction

[0034] Specific embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings.

[0035] Such as figure 1 As shown, the image depth map generation method of an embodiment of the present invention includes the following steps:

[0036] 1. Use bilateral filter interpolation to generate the initial depth map of the current frame 11

[0037] In image processing, bilateral filter is used as a filter that can preserve edges and denoise. In bilateral filtering, the brightness value of each pixel of the image is replaced by the weighted average of the brightness values ​​of pixels in the neighborhood centered on it. Different from the traditional Gaussian filter, bilateral filtering not only includes spatial filtering, but also considers range filtering. That is, the weight of the weighted average of the bilateral filter is the product of two factors. One factor represents the spatial distance between two compared pixels...

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Abstract

The invention discloses a method for generating depth maps of images. The method includes 1), selecting a plurality of reference blocks in corresponding regions of a reference-frame image for a current block of a current-frame image; 2), computing a depth block matching error and a color block matching error between the current block and each reference block; 3), weighting the corresponding depth block matching error and the corresponding color block matching error for the current block and a certain reference block to obtain a comprehensive matching error; and 4), selecting a certain reference block corresponding to the minimum comprehensive matching error and using a depth map of the reference block as a depth map of the current block. Each color block matching error is the sum of absolute values of color pixel value differences among all corresponding pixels between the current block and the corresponding reference block. The method has the advantages that the quality of the depth map obtained after the current-frame image is interpolated is improved, and accumulative errors caused by one-way depth interpolation propagation are effectively reduced.

Description

【Technical field】 [0001] The invention relates to the field of computer vision stereoscopic video, in particular to a method for generating an image depth map. 【Background technique】 [0002] Stereoscopic video utilizes the human stereoscopic vision mechanism to provide people with a three-dimensional stereoscopic perception as if they were on the scene, which greatly enriches people's lives. In recent years, 3D movies and 3D TVs have developed rapidly, the technical level has been continuously improved, and the market has gradually expanded. The research on converting plane to stereoscopic video has huge market potential, and this technology itself will also vigorously promote the development of stereoscopic display industry. At present, the biggest problem facing the stereoscopic display industry is the problem of film sources and materials. On the one hand, the number of film sources and materials is much less than that of traditional print media. A major problem facing...

Claims

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Application Information

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IPC IPC(8): G06T7/00H04N13/02
Inventor 王好谦田雨时张永兵戴琼海
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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