Eigenspace compression: dynamic 3D mesh compression by restoring fine geometry to deformed coarse models

Hajizadeh, Mohammadali; Ebrahimnezhad, Hossein

doi:10.1007/s11042-017-5394-2

Cited by 7 publications

(1 citation statement)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bayesian classifier is the key to intelligent recognition of sports athletes' wrong movements. erefore, a classifier is designed according to Bayesian algorithm [23][24][25].…”

Section: Intelligent Recognition Of Athletes' Wrong Actionsmentioning

confidence: 99%

Intelligent Recognition Method of Athlete Wrong Movement Based on Image Vision

Wang

Hou

2021

Scientific Programming

View full text Add to dashboard Cite

Current methods of human body movement recognition neglect the depth denoising and edge restoration of movement image, which leads to great error in athletes’ wrong movement recognition and poor application intelligence. Therefore, an intelligent recognition method based on image vision for sports athletes’ wrong actions is proposed. The basic principle, structure, and 3D application of computer image vision technology are defined. Capturing the human body image and point cloud data, the three-dimensional dynamic model of sports athletes action is constructed. The color camera including CCD sensor and CMOS sensor is selected to collect the wrong movement image of athlete and provide image data for the recognition of wrong movement. Wavelet transform coefficient and quantization matrix threshold are introduced to denoise the wrong motion images of athletes. Based on this, the feature of sports athlete’s motion contour image is extracted in spatial frequency domain, and the edge of the image is further recovered by Canny operator. Experimental results show that the proposed method can accurately identify the wrong movements of athletes, and there is no redundancy in the recognition results. Image denoising effect is good and less time-consuming and can provide a reliable basis for related fields.

show abstract

“…Bayesian classifier is the key to intelligent recognition of sports athletes' wrong movements. erefore, a classifier is designed according to Bayesian algorithm [23][24][25].…”

Section: Intelligent Recognition Of Athletes' Wrong Actionsmentioning

confidence: 99%