Abstract 3D Local feature description is an active and fundamental task in 3D computer
vision. However, most of the existing descriptors fail to simultaneously achieve satisfactory …

A vital and challenging task in computer vision is 3D Object Classification and Retrieval, with
many practical applications such as an intelligent robot, autonomous driving, multimedia …

Powered wheelchairs have enhanced the mobility and quality of life of people with special
needs. The next step in the development of powered wheelchairs is to incorporate sensors …

This paper presents an integrated solution for 3D object detection, recognition, and
presentation to increase accessibility for various user groups in indoor areas through a …

Fractals are self-similar patterns that repeat at different scales, the complexity of which are
expressed as a fractional Euclidean dimension D between 0 (a point) and 2 (a filled plane) …

3D object recognition is an generic task in robotics and autonomous vehicles. In this paper,
we propose a 3D object recognition approach using a 3D extension of the histogram-of …

A variety of methods for 3D object recognition and registration based on a deep learning
pipeline have recently emerged. Nonetheless, these methods require large amounts of data …

Convolutional Neural Networks (CNNs) have become the default paradigm for addressing
classification problems, especially, but not only, in image recognition. This is mainly due to …

In three-dimensional data, despite deep learning-based approaches achieve decent
accuracy when applied to classification, they struggle on other more complex tasks such as …

Point cloud object classification has gained attention from many researchers since the
emergence of public dataset like ModelNet and ShapeNet, which contains full surface …