This paper describes a multiple camera-based method to reconstruct the 3D shape of a human foot. From a foot database, an initial 3D model of the foot represented by a cloud of points is built. The shape parameters, w...This paper describes a multiple camera-based method to reconstruct the 3D shape of a human foot. From a foot database, an initial 3D model of the foot represented by a cloud of points is built. The shape parameters, which can characterize more than 92% of a foot, are defined by using the principal component analysis method. Then, using ＂active shape models＂, the initial 3D model is adapted to the real foot captured in multiple images by applying some constraints （edge points＇ distance and color variance）. We insist here on the experiment part where we demonstrate the efficiency of the proposed method on a plastic foot model, and also on real human feet with various shapes. We propose and compare different ways of texturing the foot which is needed for reconstruction. We present an experiment performed on the plastic foot model and on human feet and propose two different ways to improve the final 3D shapers accuracy according to the previous experiments＇ results. The first improvement proposed is the densification of the cloud of points used to represent the initial model and the foot database. The second improvement concerns the projected patterns used to texture the foot. We conclude by showing the obtained results for a human foot with the average computed shape error being only 1.06 mm.展开更多
六自由度(Six Degree of Freedom,6DoF)视频系统允许用户从全方位、以任意视角身临其境地体验场景,是沉浸式视频技术的发展方向。根据6DoF视频系统中用户观看位置的变化,对多视点彩色与深度视频的码率分配是高质量场景生成的关键。本文...六自由度(Six Degree of Freedom,6DoF)视频系统允许用户从全方位、以任意视角身临其境地体验场景,是沉浸式视频技术的发展方向。根据6DoF视频系统中用户观看位置的变化,对多视点彩色与深度视频的码率分配是高质量场景生成的关键。本文从虚拟视点的失真出发,提出一种基于虚拟视点质量预测(Quality prediction model of virtual view,QPMVV)模型的视点级码率分配方法。首先理论分析了彩色和深度视频编码失真和虚拟视点失真的关系,然后通过实验统计分析了虚拟视点质量与彩色和深度视频编码量化参数的关系,建立了多视点彩色和深度视频的QPMVV模型,最后推导出多视点彩色和深度视频的相关视点的码率分配比例。实验表明,与平均分配的方法相比,本文码率分配方法能显著提升虚拟视点的主观和客观质量。虚拟视点越偏离中心位置,质量改善越明显。展开更多
基金This work was supported by Grant-in-Aid for Scientific Research (C) (No.17500119)
文摘This paper describes a multiple camera-based method to reconstruct the 3D shape of a human foot. From a foot database, an initial 3D model of the foot represented by a cloud of points is built. The shape parameters, which can characterize more than 92% of a foot, are defined by using the principal component analysis method. Then, using ＂active shape models＂, the initial 3D model is adapted to the real foot captured in multiple images by applying some constraints （edge points＇ distance and color variance）. We insist here on the experiment part where we demonstrate the efficiency of the proposed method on a plastic foot model, and also on real human feet with various shapes. We propose and compare different ways of texturing the foot which is needed for reconstruction. We present an experiment performed on the plastic foot model and on human feet and propose two different ways to improve the final 3D shapers accuracy according to the previous experiments＇ results. The first improvement proposed is the densification of the cloud of points used to represent the initial model and the foot database. The second improvement concerns the projected patterns used to texture the foot. We conclude by showing the obtained results for a human foot with the average computed shape error being only 1.06 mm.
文摘六自由度(Six Degree of Freedom,6DoF)视频系统允许用户从全方位、以任意视角身临其境地体验场景,是沉浸式视频技术的发展方向。根据6DoF视频系统中用户观看位置的变化,对多视点彩色与深度视频的码率分配是高质量场景生成的关键。本文从虚拟视点的失真出发,提出一种基于虚拟视点质量预测(Quality prediction model of virtual view,QPMVV)模型的视点级码率分配方法。首先理论分析了彩色和深度视频编码失真和虚拟视点失真的关系,然后通过实验统计分析了虚拟视点质量与彩色和深度视频编码量化参数的关系,建立了多视点彩色和深度视频的QPMVV模型,最后推导出多视点彩色和深度视频的相关视点的码率分配比例。实验表明,与平均分配的方法相比,本文码率分配方法能显著提升虚拟视点的主观和客观质量。虚拟视点越偏离中心位置,质量改善越明显。
