Person re-identification (re-id) aims to match people across non-overlapping camera views.
So far the RGB-based appearance is widely used in most existing works. However, when …

We propose a new methodology for large-scale urban 3D scene analysis in terms of
automatically assigning 3D points the respective semantic labels. The methodology focuses …

Data encoded as symmetric positive definite (SPD) matrices frequently arise in many areas
of computer vision and machine learning. While these matrices form an open subset of the …

The development of inexpensive 3D data acquisition devices has promisingly facilitated the
wide availability and popularity of point clouds, which attracts increasing attention to the …

The fully automatic processing and analysis of 3D point clouds represents a topic of major
interest in the fields of photogrammetry, remote sensing, computer vision, and robotics …

Doppler correction of phase-encoded LIDAR includes a code indicating a sequence of
phases for a phase-encoded signal, and determining a first Fourier transform of the signal. A …

Doppler correction of broadband LIDAR includes mixing, during a first time interval, a
returned optical signal with an in-phase version of the transmitted signal to produce a first …

Inspired by the great success of sparse coding for vector valued data, our goal is to
represent symmetric positive definite (SPD) data matrices as sparse linear combinations of …

Abstract Three-dimensional (3D) semantic segmentation of point clouds is important in many
scenarios, such as automatic driving, robotic navigation, while edge computing is …

This paper proposes a novel imaging biomarker of lung cancer relapse from 3-D texture
analysis of CT images. Three-dimensional morphological nodular tissue properties are …