TY - GEN
T1 - 3D handheld scanning based on multiview 3D registration using Kinect Sensing device
AU - Ayaz, Shirazi Muhammad
AU - Khan, Danish
AU - Kim, Min Young
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/7
Y1 - 2017/12/7
N2 - This paper describes the implementation of a 3D handheld scanning approach based on Kinect. User may get the 3D scans at a very fast rate using real time scanning devices like Kinect. These devices have been utilized in several applications, but the scanning lacks in the accuracy and reliability of the 3D data, which makes their employment a difficult task. This research proposed the 3D handheld scanning approach based on Kinect device which renders the 3D point cloud data for different views and registers them using visual navigation and ICP. This research also compares several ICP variants with the proposed method. The proposed approach can be used for the 3D modeling applications especially in medical domain. Experiments and results demonstrate the feasibility of the proposed approach to generate reliable 3D reconstructions from the Kinect's point clouds.
AB - This paper describes the implementation of a 3D handheld scanning approach based on Kinect. User may get the 3D scans at a very fast rate using real time scanning devices like Kinect. These devices have been utilized in several applications, but the scanning lacks in the accuracy and reliability of the 3D data, which makes their employment a difficult task. This research proposed the 3D handheld scanning approach based on Kinect device which renders the 3D point cloud data for different views and registers them using visual navigation and ICP. This research also compares several ICP variants with the proposed method. The proposed approach can be used for the 3D modeling applications especially in medical domain. Experiments and results demonstrate the feasibility of the proposed approach to generate reliable 3D reconstructions from the Kinect's point clouds.
UR - http://www.scopus.com/inward/record.url?scp=85042357850&partnerID=8YFLogxK
U2 - 10.1109/MFI.2017.8170450
DO - 10.1109/MFI.2017.8170450
M3 - Conference contribution
AN - SCOPUS:85042357850
T3 - IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
SP - 330
EP - 335
BT - MFI 2017 - 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2017
Y2 - 16 November 2017 through 18 November 2017
ER -