Obtaining high-quality 3D reconstructions of room-scale scenes is of paramount importance
for upcoming applications in AR or VR. These range from mixed reality applications for …

The iterative closest point (ICP) algorithm and its variants are a fundamental technique for
rigid registration between two point sets, with wide applications in different areas from …

We propose a new large-scale database containing grasps that are applied to a large set of
objects from numerous categories. These grasps are generated in simulation and are …

We present an approach for estimating the pose of an external camera with respect to a
robot using a single RGB image of the robot. The image is processed by a deep neural …

4)(香港中文大学机械与自动化工程系, 香港999077) 摘要3D 打印技术使用增材制造方式能够
作为传统减材制造方式的一个强有力补充, 推动了设计和制造行业的快速发展. 近年来 …

We introduce P2P-NET, a general-purpose deep neural network which learns geometric
transformations between point-based shape representations from two domains, eg, meso …

Real-world fabrics often possess complicated nonlinear, anisotropic bending stiffness
properties. Measuring the physical parameters of such properties for physics-based …

We introduce RoboPose, a method to estimate the joint angles and the 6D camera-to-robot
pose of a known articulated robot from a single RGB image. This is an important problem to …

We introduce RPM-Net, a deep learning-based approach which simultaneously infers
movable parts and hallucinates their motions from a single, un-segmented, and possibly …

Solving the camera-to-robot pose is a fundamental requirement for vision-based robot
control, and is a process that takes considerable effort and cares to make accurate …