Monocular image depth information estimation method based on contour acuity

A technology of image depth and depth image, which is applied in the field of monocular image depth information estimation based on contour sharpness, and can solve the problems of poor practicability, complex fuzzy diffusion method, and low efficiency

Active Publication Date: 2016-03-02
LIAONING UNIVERSITY
View PDF5 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the complexity and low efficiency of t

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Monocular image depth information estimation method based on contour acuity
  • Monocular image depth information estimation method based on contour acuity
  • Monocular image depth information estimation method based on contour acuity

Examples

Experimental program
Comparison scheme
Effect test

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), y(s) are the coordinates of the point s in the initial contour line;

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

[0045] E. total =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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T7/00
Inventor 马利景源李鹏张玉奇胡彬彬牛斌
Owner LIAONING UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap