Title :
SHREC’08 entry: Forward neural network-based 3D model retrieval
Author :
Liu Yujie ; Yao Xiaolan ; Li Zongmin
Author_Institution :
Sch. of Comput. Sci. & Commun. Eng., China Univ. of Pet., Dongying
Abstract :
In this paper, a forward neural network (FNN) is used for 3D model retrieval. Also the descriptor based on exponentially decaying Euclidean distance transforms (EDT) is adapted to represent the feature of a 3D model. As a kind of machine learning method, FNN is trained by the PSB trained data, and then used to sort the testing data set in this contest.
Keywords :
computational geometry; image retrieval; learning (artificial intelligence); neural nets; solid modelling; 3D model retrieval; Euclidean distance transform; SHREC database; forward neural network training; image retrieval; machine learning method; Euclidean distance; Learning systems; Machine learning; Machine learning algorithms; Neural networks; Principal component analysis; Spatial databases; Supervised learning; 3D model retrieval; EDT; forward neural network;
Conference_Titel :
Shape Modeling and Applications, 2008. SMI 2008. IEEE International Conference on
Conference_Location :
Stony Brook, NY
Print_ISBN :
978-1-4244-2260-9
DOI :
10.1109/SMI.2008.4547992
