Extraction method of monocular image depth map based on foreground and background fusion

An extraction method and image depth technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as dependence and improve computational complexity

Active Publication Date: 2013-11-27
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

In recent years, the use of saliency detection to extract foreground information, so as to realize the depth map extraction combined with the foreground background, has been proposed, but

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  • Extraction method of monocular image depth map based on foreground and background fusion
  • Extraction method of monocular image depth map based on foreground and background fusion
  • Extraction method of monocular image depth map based on foreground and background fusion

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Embodiment Construction

[0038] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0039] The idea of ​​the present invention is to use non-parametric machine learning to extract foreground depth information for monocular images based on similar depth information of scenes with similar semantics; use monocular geometric information to estimate the overall trend of background depth; further integrate foreground and background depth to obtain the best Excellent depth. The complex camera parameter estimation required in the process of 3D reconstruction of monocular images is avoided.

[0040] The monocular image depth map extraction method based on foreground and background fusion of the present invention, its basic flow is as follows figure 1 shown, including the following steps:

[0041] Step A, using a non-parametric machine learning method to extract the foreground depth map of the original monocular image.

[0042] Using non-par...

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Abstract

The invention discloses an extraction method of a monocular image depth map based on foreground and background fusion, and belongs to the three-dimensional image reconstruction field of the computer vision. The method of the invention comprises the following steps: step A, a non-parametric machine learning method is used to extract a foreground depth map from an original monocular image; step B, a linear perspective method is used to estimate a background depth map with an integral distribution trend in the original monocular image; step C, the foreground depth map and the background depth map of the original monocular image perform global integration, so as to get a final depth map of the original monocular image. Compared with the prior art, the extraction method of the monocular image depth map based on the foreground and background fusion does not need to compute the camera parameter, is low in computational complexity, and is simple and practicable.

Description

technical field [0001] The invention relates to a monocular image depth map extraction method, which belongs to the technical field of three-dimensional image reconstruction of computer vision. Background technique [0002] In recent years, with the development of social economy and the improvement of science and technology, the 3D industry has developed rapidly. However, using stereo cameras and distance sensors to capture 3D materials is expensive, difficult to operate, and takes a lot of time. Therefore, the 3D reconstruction of 2D images has become a research hotspot in the field of 3D and image processing. Two-dimensional images refer to monocular images captured by ordinary cameras. The depth information of the scene can be recovered from the monocular images, and the effect of three-dimensional stereoscopic images can be synthesized. [0003] The most critical step in the process of 3D reconstruction of 2D images is to realize the extraction of the depth map of 2D im...

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Application Information

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IPC IPC(8): G06T17/00G06T7/00G06T5/40
Inventor 刘天亮莫一鸣朱秀昌
Owner NANJING UNIV OF POSTS & TELECOMM
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