Three-dimensional feature descriptors are heavily employed in various 3-D perception
applications to find keypoint correspondences between two point clouds. The availability of …

We propose a lifelong 3D map** framework that is modular, cloud-native by design and
more importantly, works for both hand-held and robot-mounted 3D LiDAR map** systems …

3D local descriptors are essential for many computer vision-related tasks: point cloud
registration, object recognition, etc. The first descriptors appeared decades ago, but new …

Local 3D point feature descriptors play an important role in many areas of computer vision,
such as object recognition, registration, etc. There are many well-functioning feature …

LIDAR and depth cameras have gone through a profound technological evolution, making
large-scale recording of 3D point cloud data possible which raises new challenges for data …

Nowadays, depth data has an important role in many applications. The sensors which can
capture depth data became essential parts of autonomous vehicles. These sensors record a …

This work mainly focuses on the hardware implementation of the modules required for
Principal Component analysis (PCA) algorithm, which is the most popular liner …

The wide-spread mobile systems nowadays desire ultra lightweight local geometric features
to accomplish tasks relying on correspondences. Nonetheless, most existing 3D local …

Local 3D point feature descriptors play an important role in many areas of computer vision,
such as object recognition, registration, etc. There are many well-functioning feature …

Nowadays, depth data has an important role in many applications. The sensors which can
capture depth data became essential parts of autonomous vehicles. These sensors record a …