Optimal Transport (OT) has recently emerged as a central tool in data sciences to compare
in a geometrically faithful way point clouds and more generally probability distributions. The …

Higher dimensional data such as video and 3D are the leading edge of multimedia retrieval
and computer vision research. In this survey, we give a comprehensive overview and key …

Abstract 3D shape recognition has attracted much attention recently. Its recent advances
advocate the usage of deep features and achieve the state-of-the-art performance. However …

Multi-view projection methods have demonstrated their ability to reach state-of-the-art
performance on 3D shape recognition. Those methods learn different ways to aggregate …

Deep learning with 3D data such as reconstructed point clouds and CAD models has
received great research interests recently. However, the capability of using point clouds with …

Abstract 3D shape models are becoming widely available and easier to capture, making
available 3D information crucial for progress in object classification. Current state-of-the-art …

Geometrical deviation is an important factor in determining the quality of a three-dimensional
(3D) Surface. For 3D surfaces with complex shapes, the high-definition measurement (HDM) …

A longstanding question in computer vision concerns the representation of 3D shapes for
recognition: should 3D shapes be represented with descriptors operating on their native 3D …

INTRODUCTION The brain of mammals consists of an enormously dense network of
neuronal wires: the axons and dendrites of nerve cells. Their packing density is so high that …

Ideal for both undergraduate and graduate students in the fields of geography, forestry,
ecology, geographic information science, remote sensing, and photogrammetric …