Depth estimation method based on image definition difference

A technology of image clarity and depth estimation, applied in the field of 3D image processing, which can solve the problems of complex calculation and difficult to achieve real-time performance.

Inactive Publication Date: 2013-01-30
SICHUAN PANOVASIC TECH +1
View PDF2 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0015] The above three types of depth estimation for a single passive vision single-view image have good results, but their calculati...

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
  • Depth estimation method based on image definition difference
  • Depth estimation method based on image definition difference
  • Depth estimation method based on image definition difference

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] Specific embodiments of the present invention will be described below in conjunction with the accompanying drawings, so that those skilled in the art can better understand the present invention. It should be noted that in the following description, when detailed descriptions of known functions and designs may dilute the main content of the present invention, these descriptions will be omitted here.

[0032] According to the actual situation that the camera usually focuses on the foreground and the focused scene is relatively clear, the depth estimation method based on the image definition difference of the present invention first estimates the definition of each pixel in a single-viewpoint single image, and then the pixel The sharpness difference estimates the depth value of the pixel.

[0033] In this embodiment, a formula is used herein to convert the color RGB value of a single-viewpoint single image into a grayscale value Gray:

[0034] Gray=(R*38+G*75+B*15)

[00...

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 discloses a depth estimation method based on an image definition difference. The method comprises steps of converting a color single-viewpoint single image into a gray-scale image, conducting partitioning, calculating definition of all image blocks by selecting an image definition algorithm, regarding the definition of all image blocks as definition of pixels of all image blocks and obtaining the definition difference condition of the single-viewpoint single image. Under the actual condition that a camera focuses on a foreground of a scenery target usually so that the focused scenery is clear, the depth assignment is conducted to the single-viewpoint single image through the definition difference, a depth image is obtained, and the depth estimation of the single-viewpoint single image is completed. The definition is calculated in partitioning, and the single-viewpoint single image depth is obtained. Compared with the prior art, the method has the advantages of being low in complexity and capable of meeting real-time requirements of image processing.

Description

technical field [0001] The invention belongs to the technical field of 3D image processing, and more specifically, relates to a depth estimation method based on image definition difference. Background technique [0002] In January 2010, the global popularity of 3D movies such as "Avatar" triggered a research boom in 3D technology. In January 2012, the CCTV 3D channel was launched, which promoted the further development of the 3D industry. 3DTV is a new technological innovation in the field of television technology after high-definition television (HDTV). [0003] As a next-generation video broadcasting system, 3DTV still has many problems to be solved, among which depth estimation is one of its key technologies. [0004] Depth estimation refers to the automatic and efficient extraction of depth information from one or more images of a scene. According to whether manual control is required, depth estimation can be divided into active (active) depth estimation and passive (...

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 刘然巫英坚田逢春谭迎春谢辉邰国钦谭伟敏李博乐肖迪葛亮周庆陈恒鑫黄扬帆甘平叶莲
Owner SICHUAN PANOVASIC TECH
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