A review on deep learning approaches for 3D data representations in retrieval and classifications
AS Gezawa, Y Zhang, Q Wang, L Yunqi - IEEE access, 2020 - ieeexplore.ieee.org
Deep learning approach has been used extensively in image analysis tasks. However,
implementing the methods in 3D data is a bit complex because most of the previously …
implementing the methods in 3D data is a bit complex because most of the previously …
Deepshape: Deep-learned shape descriptor for 3d shape retrieval
Complex geometric variations of 3D models usually pose great challenges in 3D shape
matching and retrieval. In this paper, we propose a novel 3D shape feature learning method …
matching and retrieval. In this paper, we propose a novel 3D shape feature learning method …
Deepshape: Deep learned shape descriptor for 3d shape matching and retrieval
Complex geometric structural variations of 3D models usually pose great challenges in 3D
shape matching and retrieval. In this paper, we propose a high-level shape feature learning …
shape matching and retrieval. In this paper, we propose a high-level shape feature learning …
Recent trends, applications, and perspectives in 3d shape similarity assessment
The recent introduction of 3D shape analysis frameworks able to quantify the deformation of
a shape into another in terms of the variation of real functions yields a new interpretation of …
a shape into another in terms of the variation of real functions yields a new interpretation of …
An overview of partial 3D object retrieval methodologies
This work offers an overview of the state-of-the-art on the emerging area of 3D object
retrieval based on partial queries. This research area is associated with several application …
retrieval based on partial queries. This research area is associated with several application …
Covariance descriptors for 3D shape matching and retrieval
Several descriptors have been proposed in the past for 3D shape analysis, yet none of them
achieves best performance on all shape classes. In this paper we propose a novel method …
achieves best performance on all shape classes. In this paper we propose a novel method …
Persistence-based segmentation of deformable shapes
In this paper, we combine two ideas: persistence-based clustering and the Heat Kernel
Signature (HKS) function to obtain a multi-scale isometry invariant mesh segmentation …
Signature (HKS) function to obtain a multi-scale isometry invariant mesh segmentation …
3D reconstruction of as-built industrial instrumentation models from laser-scan data and a 3D CAD database based on prior knowledge
In the operation and maintenance phase of industrial plants, it is important to ensure that the
as-built condition of every piece of installed instrumentation, and any changes that may …
as-built condition of every piece of installed instrumentation, and any changes that may …
Combination of bag-of-words descriptors for robust partial shape retrieval
G Lavoué - The Visual Computer, 2012 - Springer
This paper presents a 3D shape retrieval algorithm based on the Bag of Words (BoW)
paradigm. For a given 3D shape, the proposed approach considers a set of feature points …
paradigm. For a given 3D shape, the proposed approach considers a set of feature points …
3D shape matching via two layer coding
View-based 3D shape retrieval is a popular branch in 3D shape analysis owing to the high
discriminative property of 2D views. However, many previous works do not scale up to large …
discriminative property of 2D views. However, many previous works do not scale up to large …