TL;DR通过多类学习对象描述符和新颖的渲染引擎,可以从一个或多个 RGB-D 图像中进行精确和鲁棒的 3D 对象重建,从而实现了多种应用,同时具备联合优化对象姿态和形状以及相机轨迹的能力。
Abstract
The choice of scene representation is crucial in both the shape inference
algorithms it requires and the smart applications it enables. We present
efficient and optimisable multi-class learned object descriptors