contributor author | Malhan, Rishi | |
contributor author | Jomy Joseph, Rex | |
contributor author | Bhatt, Prahar M. | |
contributor author | Shah, Brual | |
contributor author | Gupta, Satyandra K. | |
date accessioned | 2022-05-08T09:30:24Z | |
date available | 2022-05-08T09:30:24Z | |
date copyright | 2/7/2022 12:00:00 AM | |
date issued | 2022 | |
identifier issn | 1530-9827 | |
identifier other | jcise_22_3_031012.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4285217 | |
description abstract | Three-dimensional reconstruction technology is used in a wide variety of applications. Automatically creating accurate pointclouds for large parts with complex geometries usually requires expensive metrology instruments. We are interested in using low-cost depth cameras mounted on commonly available industrial robots to create accurate pointclouds for large parts automatically. Manufacturing applications require fast cycle times. Therefore, we are interested in speeding up the 3D reconstruction process. We present algorithmic advances in 3D reconstruction that achieve a sub-millimeter accuracy using a low-cost depth camera. Our system can be used to determine a pointcloud model of large and complex parts. Advances in camera calibration, cycle time reduction for pointcloud capturing, and uncertainty estimation are made in this work. We continuously capture pointclouds at an optimal camera location with respect to part distance during robot motion execution. The redundancy in pointclouds achieved by the moving camera significantly reduces errors in measurements without increasing cycle time. Our system produces sub-millimeter accuracy. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Algorithms for Improving Speed and Accuracy of Automated Three-Dimensional Reconstruction With a Depth Camera Mounted on An Industrial Robot | |
type | Journal Paper | |
journal volume | 22 | |
journal issue | 3 | |
journal title | Journal of Computing and Information Science in Engineering | |
identifier doi | 10.1115/1.4053272 | |
journal fristpage | 31012-1 | |
journal lastpage | 31012-10 | |
page | 10 | |
tree | Journal of Computing and Information Science in Engineering:;2022:;volume( 022 ):;issue: 003 | |
contenttype | Fulltext | |