Unlock instant, AI-driven research and patent intelligence for your innovation.

Fingertip depth detection method and system

A depth detection and fingertip technology, applied in the field of computer vision, can solve the problems of inaccurate fingertip depth detection results and slow processing speed, and achieve the effects of narrowing the parallax search range, increasing processing speed, and improving accuracy

Active Publication Date: 2016-04-13
TSINGHUA UNIV
View PDF5 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is: the existing fingertip depth detection results are inaccurate and the processing speed is slow

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
  • Fingertip depth detection method and system
  • Fingertip depth detection method and system
  • Fingertip depth detection method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0056] figure 1 It is a schematic diagram of a fingertip depth detection method according to an embodiment of the present invention. Such as figure 1 As shown, the fingertip depth detection method includes:

[0057] S1: Obtain the images collected by the left and right cameras of the infrared binocular camera system;

[0058] S2: Binarize the images collected by the left and right cameras to obtain the first hand image and the second hand image;

[0059] S3: Perform distance transformation on the hand image, and obtain the positions of the fingertip points in the first hand image and the second hand image according to the result of the distance transformation;

[0060] S4: Obtain the distance between the fingertip points in the two hand images according to the angle of each fingertip relative to the palm center in the first hand image and the angle of each ...

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 relates to a fingertip depth detection method and system. The method comprises the following steps: acquiring images acquired by a left camera and a right camera of an infrared binocular camera system; performing binarization processing on the images acquired by the left camera and the right camera, and acquiring a first hand image and a second hand image; performing distance transformation on the hand images, and acquiring positions of fingertip points in the first hand image and the second hand image according to a result of the distance transformation; acquiring a matching combination between fingertip points in two hand images according to an angle of a polar coordinate of each fingertip relative to a palm in the first hand image and an angle of a polar coordinate of each fingertip relative to a palm in the second hand image; and performing disparity matching on the first hand image and the second hand image, and acquiring a depth value of the fingertip. The fingertip depth detection method and system provided by the invention improve the precision of fingertip depth detection, use a hand model and adopt rough matching to reduce a disparity search range, and improve the processing speed.

Description

Technical field [0001] The invention relates to the field of computer vision, and in particular to a method and system for detecting fingertip depth. Background technique [0002] Recovering depth information from images is a basic problem in the field of computer vision. In recent years, with the development of various technologies, it has also received more and more attention and made great progress. Depth sensors are widely used in industrial inspection, autonomous driving, medical imaging, and new human-computer interaction based on 3D scene understanding and detection. Depending on whether controlled lighting is used, depth sensing systems can generally be divided into active depth estimation and passive depth estimation. [0003] Active depth estimation uses projectors and other equipment to project light in a pre-designed pattern into a three-dimensional scene, such as pre-encoded structured light images or speckle images. By comparing the reconstructed speckle or structur...

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
CPCG06T2207/10012G06T2207/10028G06T2207/10048
Inventor 王贵锦李文涛尹玄武施陈博
Owner TSINGHUA UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com