Deep learning advances in computer vision with 3d data: A survey
Deep learning has recently gained popularity achieving state-of-the-art performance in tasks
involving text, sound, or image processing. Due to its outstanding performance, there have …
involving text, sound, or image processing. Due to its outstanding performance, there have …
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 …
Sketch-based 3d shape retrieval using convolutional neural networks
Retrieving 3D models from 2D human sketches has received considerable attention in the
areas of graphics, image retrieval, and computer vision. Almost always in state of the art …
areas of graphics, image retrieval, and computer vision. Almost always in state of the art …
A survey on deep learning advances on different 3D data representations
E Ahmed, A Saint, AER Shabayek… - arXiv preprint arXiv …, 2018 - arxiv.org
3D data is a valuable asset the computer vision filed as it provides rich information about the
full geometry of sensed objects and scenes. Recently, with the availability of both large 3D …
full geometry of sensed objects and scenes. Recently, with the availability of both large 3D …
3-D object retrieval and recognition with hypergraph analysis
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 …
computer aided design. It is difficult to precisely estimate the distance between two objects …
Sketch-based shape retrieval
We develop a system for 3D object retrieval based on sketched feature lines as input. For
objective evaluation, we collect a large number of query sketches from human users that are …
objective evaluation, we collect a large number of query sketches from human users that are …
Exploring deep learning for view-based 3D model retrieval
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 …
the field of computer vision and machine learning. In fact, the 3D model retrieval algorithm …
Camera constraint-free view-based 3-D object retrieval
Recently, extensive research efforts have been dedicated to view-based methods for 3-D
object retrieval due to the highly discriminative property of multiviews for 3-D object …
object retrieval due to the highly discriminative property of multiviews for 3-D object …
3-D object retrieval with Hausdorff distance learning
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 …
matching thus plays an important role. Previous research efforts have shown the …
A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries
Large-scale 3D shape retrieval has become an important research direction in content-
based 3D shape retrieval. To promote this research area, two Shape Retrieval Contest …
based 3D shape retrieval. To promote this research area, two Shape Retrieval Contest …