Deep Learning (DL) has shown great promise in the unsupervised task of clustering. That
said, while in classical (ie, non-deep) clustering the benefits of the nonparametric approach …

Improving the accuracy of pose determination of UAVs in a Global Positioning System-
denied (GPS-denied) indoor environment, visual Simultaneous Localization And Map** …

Indoor plane extraction on point cloud has always been a research hotspot, in which random
sample consensus (RANSAC) is known as a common algorithm. However, impacted by …

Manhattan and Atlanta worlds hold for the structured scenes with only vertical and horizontal
dominant directions (DDs). To describe the scenes with additional slo** DDs, a mixture of …

Global registration using 3D point clouds is a crucial technology for mobile platforms to
achieve localization or manage loop-closing situations. In recent years, numerous …

We present a low-drift visual odometry algorithm that separately estimates rotational and
translational motion from lines, planes, and points found in RGB-D images. Previous …

This letter proposes three-filters-to-normal (3F2N), an accurate and ultrafast surface normal
estimator (SNE), which is designed for structured range sensor data, eg, depth/disparity …

Purpose Accurate feature localization is a fundamental problem in computer vision and
visual measurement. In a perspective projection model of the camera, the projected center of …