3-D object retrieval and recognition with hypergraph analysis

Y Gao, M Wang, D Tao, R Ji… - IEEE transactions on image …, 2012 - ieeexplore.ieee.org
View-based 3-D object retrieval and recognition has become popular in practice, eg, in
computer aided design. It is difficult to precisely estimate the distance between two objects …

3-D object retrieval with Hausdorff distance learning

Y Gao, M Wang, R Ji, X Wu… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
In view-based 3-D object retrieval, each object is described by a set of views. Group
matching thus plays an important role. Previous research efforts have shown the …

View-based discriminative probabilistic modeling for 3D object retrieval and recognition

M Wang, Y Gao, K Lu, Y Rui - IEEE Transactions on Image …, 2012 - ieeexplore.ieee.org
In view-based 3D object retrieval and recognition, each object is described by multiple
views. A central problem is how to estimate the distance between two objects. Most …

3D object retrieval with stacked local convolutional autoencoder

B Leng, S Guo, X Zhang, Z Xiong - Signal Processing, 2015 - Elsevier
The success of object recognition and retrieval is largely determined by data representation.
A good feature descriptor can detect the high-level abstraction of objects, which contains …

3D model retrieval using hybrid features and class information

B Li, H Johan - Multimedia tools and applications, 2013 - Springer
To improve the retrieval performance on a classified 3D model database, we propose a 3D
model retrieval algorithm based on a hybrid 3D shape descriptor ZFDR and a class-based …

A 3D model recognition mechanism based on deep Boltzmann machines

B Leng, X Zhang, M Yao, Z Xiong - Neurocomputing, 2015 - Elsevier
The effectiveness of 3D model recognition generally depends on the feature representations
and classification methods. Previous algorithms have not shown good capacities to detect …

3D object understanding with 3D convolutional neural networks

B Leng, Y Liu, K Yu, X Zhang, Z Xiong - Information sciences, 2016 - Elsevier
Feature engineering plays an important role in object understanding. Expressive
discriminative features can guarantee the success of object understanding tasks. With …

Learning view-model joint relevance for 3D object retrieval

K Lu, N He, J Xue, J Dong… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
3D object retrieval has attracted extensive research efforts and become an important task in
recent years. It is noted that how to measure the relevance between 3D objects is still a …

3D object retrieval with multitopic model combining relevance feedback and LDA model

B Leng, J Zeng, M Yao, Z Xiong - IEEE Transactions on Image …, 2014 - ieeexplore.ieee.org
View-based 3D model retrieval uses a set of views to represent each object. Discovering the
complex relationship between multiple views remains challenging in 3D object retrieval …

[HTML][HTML] Data-aware 3D partitioning for generic shape retrieval

I Sipiran, B Bustos, T Schreck - Computers & graphics, 2013 - Elsevier
In this paper, we present a new approach for generic 3D shape retrieval based on a mesh
partitioning scheme. Our method combines a mesh global description and mesh partition …