Three-dimensional shape classification and retrieval using convolutional neural networks and majority vote

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United States of America Patent

PATENT NO 11367222
APP PUB NO 20210104071A1
SERIAL NO

16975411

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Abstract

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A deep learning method employs a neural network having three sub-nets to classify and retrieve the most similar 3D model of an object, given a rough 3D model or scanned images. The most similar 3D model is present in a database and can be retrieved to use directly or as a reference to redesign the 3D model. The three sub-nets of the neural network include one dealing with object images and the other two dealing with voxel representations. Majority vote is used instead of view pooling to classify the object. A feature map and a list of top N most similar well-designed 3D models are also provided.

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Patent Owner(s)

  • HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Fan, Jian Palo Alto, US 54 1416
Lei, Yang Palo Alto, US 63 162
Liu, Jerry Palo Alto, US 56 642
Shao, Ruiting Mountain View, US 1 2

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