Recognition of 3D Shapes Based on 3V-DepthPano CNN
Joint Authors
Yin, Junjie
Huang, Ningning
Tang, Jing
Fang, Meie
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-30
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper proposes a convolutional neural network (CNN) with three branches based on the three-view drawing principle and depth panorama for 3D shape recognition.
The three-view drawing principle provides three key views of a 3D shape.
A depth panorama contains the complete 2.5D information of each view.
3V-DepthPano CNN is a CNN system with three branches designed for depth panoramas generated from the three key views.
This recognition system, i.e., 3V-DepthPano CNN, applies a three-branch convolutional neural network to aggregate the 3D shape depth panorama information into a more compact 3D shape descriptor to implement the classification of 3D shapes.
Furthermore, we adopt a fine-tuning technique on 3V-DepthPano CNN and extract shape features to facilitate the retrieval of 3D shapes.
The proposed method implements a good tradeoff state between higher accuracy and training time.
Experiments show that the proposed 3V-DepthPano CNN with 3 views obtains approximate accuracy to MVCNN with 12/80 views.
But the 3V-DepthPano CNN frame takes much shorter time to obtain depth panoramas and train the network than MVCNN.
It is superior to all other existing advanced methods for both classification and shape retrieval.
American Psychological Association (APA)
Yin, Junjie& Huang, Ningning& Tang, Jing& Fang, Meie. 2020. Recognition of 3D Shapes Based on 3V-DepthPano CNN. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1198097
Modern Language Association (MLA)
Yin, Junjie…[et al.]. Recognition of 3D Shapes Based on 3V-DepthPano CNN. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1198097
American Medical Association (AMA)
Yin, Junjie& Huang, Ningning& Tang, Jing& Fang, Meie. Recognition of 3D Shapes Based on 3V-DepthPano CNN. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1198097
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1198097