Human body assembly dividing method based on face detection and key point positioning

A face detection, key point technology, applied in the acquisition of 3D object measurement, computer parts, character and pattern recognition and other directions

Inactive Publication Date: 2015-09-09
NANJING UNIV
View PDF3 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Purpose of the invention: the purpose of the present invention is to propose a new idea and new method to solve the problem of human body component division for the defects and deficiencies of the above human body component division method

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
  • Human body assembly dividing method based on face detection and key point positioning
  • Human body assembly dividing method based on face detection and key point positioning
  • Human body assembly dividing method based on face detection and key point positioning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0093] Such as figure 1 shown. figure 1 Step 1 is the initialization action. Step 2 Input a frontal human body image without intersections.

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 human body assembly dividing method based on face detection and key point positioning; the method mainly aims to an image with no overlap limb for dividing human body assemblies; the method comprises the following steps: inputting a human body image; using face detection technology to position a human body substantially scope; using edge detection to obtain an accurate human body layout; using a cross list storage and retrieval method to complete automatic dividing of the human body assemblies through key point search. The method uses the maturation face detection algorithm to complete face identification, and substantially positions the human body position according to face information and extracts the accurate human body layout, and searches and positions key points on the human body layout according to human body proportion constraint, and finally fast divides layouts of each human body assembly according to the key points. The method is high in instantaneity and accuracy, can be applied to human body three dimensional reconstruction, human body measurement, and behavior identification fields.

Description

technical field [0001] The invention belongs to the technical field of computer image processing, and in particular relates to a human body component division method based on face detection and key point positioning. Background technique [0002] The component division of the human body in videos or pictures can serve research and practical applications in many related fields such as accurate 3D reconstruction of the human body, measurement of human body components, and behavior recognition. In the past ten years, the study of this problem has attracted the attention of many researchers. Document 1: Haritaoglu, D. Harwood, and L.S. Davis, “W4: Real-time surveillance of people and their activities,” IEEE Trans. Pattern Anal. Mach. Intell., vol.22, no.8, pp.809– 830, Aug.2000. Proposed a recursive convex hull algorithm to construct contour-based models for finding possible body parts. Document 2: S.S.Micilotta, E.J.Ong, and R.Bowden, “Detecting and tracking of humans by prob...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/161G06V40/103G06V2201/12G06F18/241
Inventor 杨若瑜马旋
Owner NANJING UNIV
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