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3D Shape Retrieval Through Multilayer RBF Neural Network

Abstract: 

3D object retrieval involves more efforts mainly because major computer vision features are designed for 2D images, which is rarely applicable for 3D models. In this paper, we propose to retrieve the 3D models based on the implicit parameters learned from the radial base functions that represent the 3D objects. The radial base functions are learned from the RBF neural network. As deep neural networks can represent the data that is not linearly separable, we apply multiple layers' neural network to train the radial base functions. Our feature can be applied to recover the 3D objects, which proves the effectiveness of our features in representing the 3D objects. Furthermore, the dimensionality of the learned feature is scalable, which leads to memory efficiency. Experiments demonstrate the accuracy of our feature in 3D model retrieval.

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Presentation slides for ICIP 2019 paper "3D Shape Retrieval Through Multilayer RBF Neural Network"

Paper Details

Authors:
Yahong Han
Submitted On:
22 September 2019 - 12:37am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Guoyu Lu
Document Year:
2019
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Document Files

icip3549.pdf

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[1] Yahong Han, "3D Shape Retrieval Through Multilayer RBF Neural Network", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4813. Accessed: Feb. 27, 2020.
@article{4813-19,
url = {http://sigport.org/4813},
author = {Yahong Han },
publisher = {IEEE SigPort},
title = {3D Shape Retrieval Through Multilayer RBF Neural Network},
year = {2019} }
TY - EJOUR
T1 - 3D Shape Retrieval Through Multilayer RBF Neural Network
AU - Yahong Han
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4813
ER -
Yahong Han. (2019). 3D Shape Retrieval Through Multilayer RBF Neural Network. IEEE SigPort. http://sigport.org/4813
Yahong Han, 2019. 3D Shape Retrieval Through Multilayer RBF Neural Network. Available at: http://sigport.org/4813.
Yahong Han. (2019). "3D Shape Retrieval Through Multilayer RBF Neural Network." Web.
1. Yahong Han. 3D Shape Retrieval Through Multilayer RBF Neural Network [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4813