It has become a well-known technology that 3D measurement of a large environment could
be achieved by using a number of 2D LIDARs on a mobile platform. In such a system …

Object recognition systems that use 3D point cloud as the input data are potentially
subjected to the problems of signal attenuation at a local level, or occlusions in cluttered …

Distributed data mining (DDM) techniques have become necessary for large and multi-
scenario datasets requiring resources, which are heterogeneous and distributed. In this …

A novel approach to object recognition based on shape matching of repeatable segments is
presented. The motivation is to increase the recognition system robustness in handling …

A deep-learning AI model for point clouds often requires a vast amount of training data,
which is not always available or requires a time-expensive process to create. To reduce the …

This thesis presents a thorough treaty of the state of data-driven procedural modelling for
architectural visualisation and simulation and prescribes a number of reconstructive …

Abstract 3D object recognition is a challenging problem with important applications such as
robotic perception. The most promising approach to solving 3D object recognition is through …