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Depth Information Estimation Method of Monocular Image Based on Contour Sharpness

A technology of image depth and depth image, which is applied in the field of monocular image depth information estimation based on contour sharpness, can solve problems such as low efficiency, poor practicability, and complicated blur diffusion method, and achieve the effect of avoiding blur diffusion and improving experimental performance

Active Publication Date: 2018-09-21
LIAONING UNIVERSITY
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Problems solved by technology

However, due to the complexity and low efficiency of the fuzzy diffusion method, its practicability is poor.

Method used

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  • Depth Information Estimation Method of Monocular Image Based on Contour Sharpness
  • Depth Information Estimation Method of Monocular Image Based on Contour Sharpness
  • Depth Information Estimation Method of Monocular Image Based on Contour Sharpness

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Embodiment Construction

[0041] The implementation process of the present invention will be described in detail below in conjunction with the accompanying drawings and specific examples.

[0042] (1) For the input image, the Canny edge detection algorithm is used for edge detection, and the edge point P of the object in the image is obtained = {p 1 ,p 2 ,...p n};

[0043] (2) Define the initial contour line according to the prior depth gradient model, and define a group of contour lines parallel to each other and with equal spacing as the initial contour line V={v 0 ,v 1 ,...,v m}. Wherein, v (s)=[x (s), y (s)], x (s), the coordinate of the point s in y (s) initial contour line;

[0044] The total energy of the contour is defined as

[0045] E. t o tal =w 1 E. edge +w 2 E. sharp +w 3 E. s +w 4 E. d

[0046] where E edge is the contour edge energy function, E sharp Contour sharpness energy function, E s is the characteristic energy function of the contour line, E d is the contour ...

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Abstract

The invention provides a monocular image depth information estimation method based on contour acuity. The method uses edge contour acuity as a fuzzy information estimation characteristic, and through low-level cue information, depth information extraction is carried out. Edge detection is firstly carried out on the image; edge energy and contour acuity are calculated for the edge in the image, the edge energy and the contour acuity serve as outer energy of the contour, inner energy, contour line characteristic energy and contour line distance energy, of the contour is combined to build a contour tracking model, the minimal value of an energy function is solved, and an image contour is searched; then, depth gradient hypothesis serves as a priori assumed gradient model, depth value filling is carried out on an area with different contour lines, and depth distribution is obtained through calculation; and finally, the original image information and the obtained depth image information are used for optimization on the obtained depth image, and a final disparity map is obtained. As is proved by an experimental result, the depth estimation algorithm is simple, and the depth image for the monocular image can be quickly and accurately estimated.

Description

technical field [0001] The invention relates to a method capable of estimating the depth information of a monocular image, and the method can obtain the depth information of an object shown in the monocular image through low-level clues of the image. Background technique [0002] Depth information perception is the premise of producing stereo vision, and the practical application based on depth information plays an important role in the fields of scene reconstruction, 3D reconstruction, pattern recognition, and object tracking. In practical applications, monocular cameras, multi-cameras or depth cameras can be used for depth information extraction. Among them, the depth information estimation method based on a monocular camera has certain advantages because of its simple operation, low hardware cost, and the ability to directly extract depth information from existing monocular image materials. [0003] Monocular image depth information estimation extracts the two-dimensiona...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/13G06T7/564
Inventor 马利景源李鹏张玉奇胡彬彬牛斌
Owner LIAONING UNIVERSITY
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