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

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...

AI Technical Summary

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 these algorithms greatly increase the computational complexity

In addition, the coefficient of foreground and background fusion only depends on empirical values, and there is a large error

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