CuFusion2: Accurate and Denoised Volumetric 3D Object Reconstruction Using Depth Cameras
The 3D object reconstruction from depth image streams using Kinect-style depth cameras has been extensively studied. In this paper, we propose an approach for accurate camera tracking and volumetric dense surface reconstruction, assuming that a known cuboid reference object is present in the scene....
Main Author: | Chen Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8691436/ |
Similar Items
-
CuFusion: Accurate Real-Time Camera Tracking and Volumetric Scene Reconstruction with a Cuboid
by: Chen Zhang, et al.
Published: (2017-10-01) -
New Lower-Limb Gait Asymmetry Indices Based on a Depth Camera
by: Edouard Auvinet, et al.
Published: (2015-02-01) -
Depth Map Reconstruction for Underwater Kinect Camera Using Inpainting and Local Image Mode Filtering
by: Huimin Lu, et al.
Published: (2017-01-01) -
Simultaneous Calibration: A Joint Optimization Approach for Multiple Kinect and External Cameras
by: Yajie Liao, et al.
Published: (2017-06-01) -
A Post-Rectification Approach of Depth Images of Kinect v2 for 3D Reconstruction of Indoor Scenes
by: Jichao Jiao, et al.
Published: (2017-11-01)