用于分析/合成图像编码的人体手臂建模

R. Hsu, M. Kageyama, H. Fukui, Y. Nakaya, H. Harashima
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引用次数: 8

摘要

分析/合成图像编码是一种潜在的强大技术,用于压缩由头肩图像主导的场景,如在一个有人类上半身特写的视频电话场景中。本文提出了一种基于人体手臂运动学建模和头肩图像序列运动分析的人体手臂图像编码新方法。该方法的主要特点是:(1)基于人体手臂可以被建模为由活动关节连接的运动机构的假设;(2)从二维图像速度近似手臂的三维运动;(3)从一帧纹理图像、线框手臂模型和估计的运动学运动合成肩部图像序列。我们在涉及移动手臂的灰度单目图像序列的模拟中评估了我们的方法。
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Human arm modeling for analysis/synthesis image coding
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.<>
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