Deep learning for scene flow estimation on point clouds: a survey and prospective trends
Aiming at obtaining structural information and 3D motion of dynamic scenes, scene flow estimation has been an interest of research in computer vision and computer graphics for a long time. It is also a fundamental task for various applications such as autonomous driving. Compared to previous methods...
Saved in:
Main Authors: | Li, Zhiqi, Xiang, Nan, Chen, Honghua, Zhang, Jianjun, Yang, Xiaosong |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/172211 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
3D GEOMETRIC MODELLING AND POINT CLOUD PROCESSING FOR BUILDING SCENE SEMANTIC SEGMENTATION
by: GOH ZHEN NING RUTH
Published: (2023) -
Using camera settings templates ("Scene Modes") for image scene classification of photographs taken on manual/expert settings
by: Ku, W., et al.
Published: (2013) -
RAPID SCENE PERCEPTION DURING ABRUPT SCENE CHANGES
by: ESTHER WU XIU WEN
Published: (2016) -
DEEP VISUAL SCENE UNDERSTANDING: CLASSIFICATION, SEGMENTATION AND PREDICTION
by: JIN XIAOJIE
Published: (2018) -
VisioMap : lightweight 3-D scene reconstruction toward natural indoor localization
by: Li, Feng, et al.
Published: (2021)