KBody:平衡的单目全身估计

N. Zioulis, J. F. O'Brien
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引用次数: 0

摘要

KBody是一种将低维身体模型拟合到图像上的方法。它遵循一种预测和优化的方法,依赖于数据驱动的模型对约束条件的估计,这些约束条件将用于求解车身参数。与其他方法相比,该方法引入虚拟关节来识别更高质量的对应关系,并解决姿态和形状参数之间的优化问题,从而在姿态和形状捕获能力以及像素对齐方面获得更平衡的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
KBody: Balanced monocular whole-body estimation
KBody is a method for fitting a low-dimensional body model to an image. It follows a predict-and-optimize approach, relying on data-driven model estimates for the constraints that will be used to solve for the body’s parameters. Compared to other approaches, it introduces virtual joints to identify higher quality correspondences and disentangles the optimization between the pose and shape parameters to achieve a more balanced result in terms of pose and shape capturing capacity, as well as pixel alignment.
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