Research Article
An Efficient 3D Model Retrieval Method Based on Convolutional Neural Network
Algorithm 1
Similarity matching algorithm.
| | input: is the features of representative views of input model, , | | | is the features of jth view of the ith model in dataset, | | | is the number of models in a category, | | | is the number of representative views of the ith model, | | | is the minimum distance, | | is the distance vector, , | | | is the counting vector, it is used to record the number of views that are classified into each category, | | | output: , | | | ; | | | ; | | | for | | | { | | | ; | | | ; | | | for | | | { | | | (j = 1, 2, …, ); | | | if {; return; } | | | ; | | | if{; ; | | | } | | | } | | | ; | | | for | | | { | | | if () {; return; } | | | } | | | } | | | if () ; | | | return ; |
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