Object pose detection and tracking has recently attracted increasing attention due to its wide
applications in many areas, such as autonomous driving, robotics, and augmented reality …

Region-based methods have become increasingly popular for model-based, monocular 3D
tracking of texture-less objects in cluttered scenes. However, while they achieve state-of-the …

Thanks to the impressive progress of large-scale vision-language pretraining, recent
recognition models can classify arbitrary objects in a zero-shot and open-set manner, with a …

Visual re-localization aims to recover camera poses in a known environment, which is vital
for applications like robotics or augmented reality. Feed-forward absolute camera pose …

Edges are one of the most ubiquitous geometric features of physical objects. They provide
accurate haptic feedback and easy-to-track features for camera systems, making them an …

In this paper, we study the problem of semi-supervised 3D object detection, which is of great
importance considering the high annotation cost for cluttered 3D indoor scenes. We resort to …

We propose a novel, highly efficient sparse approach to region-based 6DoF object tracking
that requires only a monocular RGB camera and the 3D object model. The key contribution …

Orthodontic treatment monitoring involves using current images and previous 3D models to
estimate the relative position of individual teeth before and after orthodontic treatment. This …

Object tracking is one of the most important problems in computer vision applications such
as robotics, autonomous driving, and pedestrian movement. There has been a significant …

摘要位置和姿态参数是表征目标空间朝向和位置的基本几何量参数, 比如飞行器的飞行位姿,
高端装备大部件的对接位姿, 自由运动中的人体位姿等. 因此, 位姿参数的准确快速测量一直是 …