A graph theory model using human nature structure

• Published in: 高技术通讯（英文版） Vol. 23; no. 4; pp. 350 - 359
• Main Author: 刘佳;Hu Haimiao;Duan Miyi;Li Wenfa;Yuan Jiazheng
• Format: Journal Article
• Language: English
• Published: Smart City College, Beijing Union University, Beijing 100101, P.R.China%School of Computer Science and Engineering, Beihang University, Beijing 100191, P.R.China%Smart City College, Beijing Union University, Beijing 100101, P.R.China 01.12.2017; School of Computer Science and Engineering, Beihang University, Beijing 100191, P.R.China
• Subjects: articulated motion and deformable objects ( AMDO ); human nature structure ( HNS); image/graphics processing; graph theory; machine vision
• ISSN: 1006-6748
• DOI: 10.3772/j.issn.1006-6748.2017.04.002

A graph theory model of the human nature structure（ GMH） for machine vision and image/graphics processing is described in this paper. Independent from the motion and deformation of contours,the human nature structure（ HNS） embodies the most basic movement characteristics of the body. The human body can be divided into basic units like head,torso,and limbs. Using these basic units,a graph theory model for the HNS can be constructed. GMH provides a basic model for human posture processing,and the outline in the perspective projection plane is the body contour of an image. In addition,the GMH can be applied to articulated motion and deformable objects,e. g.,in the design and analysis of body posture,by modifying mapping parameters of the GMH.