Face/object recognition and tracking on IoT device with 3D camera

Face/object recognition and tracking on IoT device with 3D camera

Traditional face recognition systems often use RGB images as input for feature extraction and classification. However, with the gradually decreasing cost of depth sensors, RGB-Depth(D) images captured using low-cost sensors are becoming comparably easy to acquire. This project proposes a deep learni...

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Bibliographic Details
Main Author: Lin, Yuxin
Other Authors: Chang Chip Hong
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2022
Subjects:
Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:https://hdl.handle.net/10356/158126

Internet

https://hdl.handle.net/10356/158126

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