Abstract Three-dimensional (3D) object recognition is widely used in automated driving,
medical image analysis, virtual/augmented reality, artificial intelligence robots, and other …

In recent years, view-based 3D model retrieval has become one of the research focuses in
the field of computer vision and machine learning. In fact, the 3D model retrieval algorithm …

With the rapid development and wide application of computer, camera device, network and
hardware technology, 3D object (or model) retrieval has attracted widespread attention and …

Robot manipulation, for example, pick-and-place manipulation, is broadly used for intelligent
manufacturing with industrial robots, ocean engineering with underwater robots, service …

Recent advances in 3D sensors and 3D modelling software have led to big 3D data. 3D
object classification and retrieval are becoming important but challenging tasks. One critical …

Multi-view based 3D shape recognition methods have achieved state-of-the-art performance
in 3D shape recognition and retrieval. The main focus of multi-view based approaches is …

In this paper, we propose the multi-view saliency guided deep neural network (MVSG-DNN)
for 3D object retrieval and classification. This method mainly consists of three key modules …

In recent years, deep learning models have been widely used in 3D reconstruction fields
and have made remarkable progress. How to stimulate deep academic interest to effectively …

2D image based 3D model retrieval is a challenging research topic in the field of 3D model
retrieval. The huge gap between two modalities-2D image and 3D model, extremely …

Abstract 3D object retrieval has attracted much research attention in recent years, while most
of the state-of-the-art approaches highly depend on the camera array settings for capturing …