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Model-based three-dimensional head pose estimation

机译:基于模型的三维头部姿态估计

摘要

One embodiment of the present invention sets forth a technique for estimating a head pose of a user. The technique includes acquiring depth data associated with a head of the user and initializing each particle included in a set of particles with a different candidate head pose. The technique further includes performing one or more optimization passes that include performing at least one iterative closest point (ICP) iteration for each particle and performing at least one particle swarm optimization (PSO) iteration. Each ICP iteration includes rendering the three-dimensional reference model based on the candidate head pose associated with the particle and comparing the three-dimensional reference model to the depth data. Each PSO iteration comprises updating a global best head pose associated with the set of particles and modifying at least one candidate head pose. The technique further includes modifying a shape of the three-dimensional reference model based on depth data.
机译:本发明的一个实施例阐述了一种用于估计用户的头部姿势的技术。该技术包括获取与用户的头部相关联的深度数据,以及以不同的候选头部姿势初始化包括在一组粒子中的每个粒子。该技术还包括执行一次或多次优化遍历,该遍历包括对每个粒子执行至少一个迭代最近点(ICP)迭代和执行至少一次粒子群优化(PSO)迭代。每次ICP迭代都包括基于与粒子关联的候选头部姿态绘制三维参考模型,并将三维参考模型与深度数据进行比较。每个PSO迭代包括更新与该组粒子相关联的全局最佳头部姿势,以及修改至少一个候选头部姿势。该技术还包括基于深度数据来修改三维参考模型的形状。

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