Automatic Human Body Modeling for Vision-Based Motion Capture

Autor:	Jaume I Capó, A., Javier Varona, González-Hidalgo, M., Mas, R., Perales, F. J.
Přispěvatelé:	Jorge, Joaquim, Skala, Václav
Jazyk:	angličtina
Rok vydání:	2006
Předmět:	snímání pohybu Computer Science::Computer Vision and Pattern Recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION shape analysis motion capture human body modeling modelování lidského těla počítačové vidění tvarová analýza computer vision ComputingMethodologies_COMPUTERGRAPHICS
Zdroj:	Scopus-Elsevier ResearcherID
Popis:	In this paper we present a computer vision algorithm for building a human body model skeleton in an automatic way. The algorithm is based on analyzing the human shape. We decompose the body into its main parts by computing the curvature of a B-Spline parameterization of the human contour. This algorithm has been applied in a context where the user is standing in front of a camera stereo pair. The process is completed after the user performs a predefined initial posture for identifying her principal joints, and building the human model. Using this model, we solve the initialization problem of a vision-based markerless motion capture system of the human body.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::18d9d02b286b15a64fa757e26ed78790 http://hdl.handle.net/11025/6600 Zobrazit plný text záznamu