Deep models for multi-view 3D object recognition: a review
This review paper focuses on the progress of deep learning-based methods for multi-view
3D object recognition. It covers the state-of-the-art techniques in this field, specifically those …
3D object recognition. It covers the state-of-the-art techniques in this field, specifically those …
Selective Multi-View Deep Model for 3D Object Classification
Abstract 3D object classification has emerged as a practical technology with applications in
various domains such as medical image analysis automated driving intelligent robots and …
various domains such as medical image analysis automated driving intelligent robots and …
FuseNet: a multi-modal feature fusion network for 3D shape classification
X Zhao, Y Chen, C Yang, L Fang - The Visual Computer, 2024 - Springer
Recently, the primary focus of research in 3D shape classification has been on point cloud
and multi-view methods. However, the multi-view approaches inevitably lose the structural …
and multi-view methods. However, the multi-view approaches inevitably lose the structural …
PReP: Efficient context-based shape retrieval for missing parts
In this paper we study the problem of shape part retrieval in the point cloud domain. Shape
retrieval methods in the literature rely on the presence of an existing query object, but what if …
retrieval methods in the literature rely on the presence of an existing query object, but what if …