Multi-view fusion and machine learning in hand pose estimation from depth images

Multi-view fusion and machine learning in hand pose estimation from depth images

This project studies an approach to hand pose estimation that relies on convolutional neural network. In the recent years, hand pose estimation has been the subject of extensive research, with data-driven approaches appearing as the preferred method to perform the complex task of regressing a hand p...

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Bibliographic Details
Main Author: Ong, Bee Lee
Other Authors: Lin Feng
Format: Final Year Project (FYP)
Language:English
Published: 2018
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:http://hdl.handle.net/10356/74239

Internet

http://hdl.handle.net/10356/74239

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