Vision-Based 3D Pose Estimation for Random Bin Picking
碩士 === 國立中正大學 === 電機工程研究所 === 104 === Due to the recent development of industrial automation, some applications have been improved with computer vision techniques. One important task is to recognize and estimate the 3D pose of the object in the scene. In this work, we use a depth camera to capture t...
Main Authors: | LIANG, SHIH-CHENG, 梁世承 |
---|---|
Other Authors: | LIN, HUEI-YUNG |
Format: | Others |
Language: | zh-TW |
Published: |
2016
|
Online Access: | http://ndltd.ncl.edu.tw/handle/42904717780260193752 |
Similar Items
-
CAD-Based Pose Estimation for Random Bin-Picking of Multiple Objects
by: Wu, Cheng-Hei, et al.
Published: (2014) -
Robot Bin-Picking Based on Deep Learning and 3D Pose Estimation
by: Chang, Yu-Hsien, et al.
Published: (2019) -
A Random Bin Picking Technique Based on Multi-view 6-DOF Pose Estimation
by: CHEN, YU-KAI, et al.
Published: (2018) -
Fast Recognition and Pose Estimation for the Purpose of Bin-Picking Robotics
by: Lonsberry, Alexander J.
Published: (2011) -
Object detection and pose estimation of randomly organized objects for a robotic bin picking system
by: Skalski, Tomasz, et al.
Published: (2013)