Improving Point Cloud Quality for Robotic Applications through Camera Fusion
碩士 === 國立交通大學 === 資訊科學與工程研究所 === 107 === Robotic applications rely on high precision depth images and point clouds for better object manipulation. Structured-light and stereo cameras, which are widely used to construct point clouds for robotics, suffer from problems in different situations. Structur...
Main Authors: | Wu, Yu-Po, 吳宥柏 |
---|---|
Other Authors: | Tsao, Shiao-Li |
Format: | Others |
Language: | en_US |
Published: |
2019
|
Online Access: | http://ndltd.ncl.edu.tw/handle/ca8247 |
Similar Items
-
Implementation of Wireless Network-Controlled Robot with Cloud Camera
by: Wei-Yu Su, et al.
Published: (2016) -
Lidar point cloud and stereo image point cloud fusion
by: Basgall, Paul L.
Published: (2013) -
Fusion of Multiple Point Clouds
by: HU,TING-LUN, et al.
Published: (2018) -
Study and Improve the Airframe Cockpit Camera Filter
by: Po-Chun Wu, et al.
Published: (2014) -
AIRBORNE LIDAR POINT CLOUD CLASSIFICATION FUSION WITH DIM POINT CLOUD
by: M. Zhou, et al.
Published: (2020-08-01)