Variance-aware learning based material recognition using stereo cameras
Material recognition exploits rich information from surfaces, which general object recognition fails to stress on, and therefore has wide application in real-world scenarios like construction management, autonomous agent navigation and image editing of interior design. Employing deep neural networks...
Saved in:
Main Author: | Ren, Jiawei |
---|---|
Other Authors: | Chau Lap Pui |
Format: | Final Year Project |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/78133 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Event camera based action recognition and falling detection
by: Lu, Shilin
Published: (2022) -
3D image reconstruction based on current stereo vision techniques
by: Chan, Favian Jun Wei
Published: (2022) -
Exploring higher quality point clouds using stereo vision
by: Foo, Chuan Ann
Published: (2022) -
Rapid facial recognition through wearable cameras
by: Sim, Jun Kai
Published: (2020) -
Learning descriptors for sequence-based hierarchical place recognition
by: Lan, Xin
Published: (2022)