is an important problem in computer-assisted orthopedic surgery (CAOS). As one typical
example, the pre-operative space where the patient-specific surgical plan is usually made …

Abstract 3D point cloud semantic segmentation is crucial for 3D environment perception and
scene understanding, where learning of local context in point clouds is a crucial challenge …

This paper describes a framework allowing intraoperative photoacoustic (PA) imaging
integrated into minimally invasive surgical systems. PA is an emerging imaging modality that …

Point cloud matching a crucial technique in computer vision medical and robotics fields is
primarily concerned with finding correspondences between pairs of point clouds or voxels …

Rotational speed is one of the important metrics to be measured for calibrating electric
motors in manufacturing, monitoring engines during car repairs, detecting faults in electrical …

Inverse synthetic aperture radar (ISAR) is capable of producing 2-D and 3-D images of non-
cooperative targets. Compared with 2-D ISAR images, 3-D ISAR reconstructions can provide …

Point cloud registration involves determining a rigid transformation to align a source point
cloud with a target point cloud. This alignment is fundamental in applications such as …

In this work we present a new construction of basis functions that generate the space of
geometrically smooth splines on an unstructured quadrilateral mesh. The basis is …

Magnetocardiography (MCG) can be used to noninvasively measure the
electrophysiological activity of myocardial cells. The high spatial resolution of magnetic …

Abstract 3D scene registration is a fundamental problem in computer vision that seeks the
best 6-DoF alignment between two scenes. This problem was extensively investigated in the …