R. Hsu, M. Kageyama, H. Fukui, Y. Nakaya, H. Harashima
{"title":"Human arm modeling for analysis/synthesis image coding","authors":"R. Hsu, M. Kageyama, H. Fukui, Y. Nakaya, H. Harashima","doi":"10.1109/ROMAN.1993.367694","DOIUrl":null,"url":null,"abstract":"Analysis/synthesis image coding is potentially a powerful technique for compressing scenes dominated by the head-shoulder images, as in a videotelephone scene with a closeup of the human upper-body. In this paper, we propose a novel approach to image coding of the human arm, based on kinematic modeling of the human arm and motion analysis of the head-shoulder image sequences. The main characteristics of this approach are that i) it relies on the assumption that the human arm can be modeled as a kinematic linkage connected by movable joints, ii) it approximates the 3-D kinematic arm motion from the 2-D image velocities, and iii) it synthesizes shoulder image sequences from one frame of texture image, the wire-frame arm model, and estimated kinematic motion. We evaluated our approach in simulations involving a grayscale monocular image sequence of a moving arm.<<ETX>>","PeriodicalId":270591,"journal":{"name":"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROMAN.1993.367694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
Analysis/synthesis image coding is potentially a powerful technique for compressing scenes dominated by the head-shoulder images, as in a videotelephone scene with a closeup of the human upper-body. In this paper, we propose a novel approach to image coding of the human arm, based on kinematic modeling of the human arm and motion analysis of the head-shoulder image sequences. The main characteristics of this approach are that i) it relies on the assumption that the human arm can be modeled as a kinematic linkage connected by movable joints, ii) it approximates the 3-D kinematic arm motion from the 2-D image velocities, and iii) it synthesizes shoulder image sequences from one frame of texture image, the wire-frame arm model, and estimated kinematic motion. We evaluated our approach in simulations involving a grayscale monocular image sequence of a moving arm.<>