Reconstruction of high resolution 3D point cloud models based on Auto-encoder and Generative Adversarial Networks System

碩士 === 國立成功大學 === 工程科學系 === 106 === In this thesis, a 3D generative system which reconstructs the complete 3D structure of high resolution point clouds from sparse point clouds using an end-to-end autoencoder and generative adversarial networks is proposed. We present the deeplearning and data gener...

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Bibliographic Details
Main Authors: Chih-YuChen, 陳致佑
Other Authors: Yueh-Min Huang
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/agsa75

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