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KinectFusion: real-time dynamic 3D surface reconstruction and interaction

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Andrew FitzgibbonAuthors Info & Claims

SIGGRAPH '11: ACM SIGGRAPH 2011 Talks

Article No.: 23, Page 1

https://doi.org/10.1145/2037826.2037857

Published: 07 August 2011 Publication History

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Abstract

We present KinectFusion, a system that takes live depth data from a moving Kinect camera and in real-time creates high-quality, geometrically accurate, 3D models. Our system allows a user holding a Kinect camera to move quickly within any indoor space, and rapidly scan and create a fused 3D model of the whole room and its contents within seconds. Even small motions, caused for example by camera shake, lead to new viewpoints of the scene and thus refinements of the 3D model, similar to the effect of image super-resolution. As the camera is moved closer to objects in the scene more detail can be added to the acquired 3D model.

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References

[1]

Besl, P., and McKay, N. 1992. A method for registration of 3D shapes. 239--256.

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[2]

Curless, B., and Levoy, M. 1996. A volumetric method for building complex models from range images. In ACM Transactions on Graphics (SIGGRAPH).

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Meden BVega PDe Chamisso FBourgeois S(2024)Introducing CEA-IMSOLD: an Industrial Multi-Scale Object Localization Dataset2024 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA57147.2024.10609999(17020-17026)Online publication date: 13-May-2024
https://doi.org/10.1109/ICRA57147.2024.10609999
Wang MQi Y(2024)Efficient Sampling and Volume Rendering Strategy for Neural Field SLAM2024 IEEE International Conference on Multimedia and Expo (ICME)10.1109/ICME57554.2024.10688267(1-6)Online publication date: 15-Jul-2024
https://doi.org/10.1109/ICME57554.2024.10688267
Khan NKim MTompkin J(2024)Are Multi-view Edges Incomplete for Depth Estimation?International Journal of Computer Vision10.1007/s11263-023-01890-y132:7(2639-2673)Online publication date: 12-Feb-2024
https://doi.org/10.1007/s11263-023-01890-y
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Index Terms

KinectFusion: real-time dynamic 3D surface reconstruction and interaction
1. Computing methodologies
  1. Computer graphics
2. General and reference

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KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera
UIST '11: Proceedings of the 24th annual ACM symposium on User interface software and technology

KinectFusion enables a user holding and moving a standard Kinect camera to rapidly create detailed 3D reconstructions of an indoor scene. Only the depth data from Kinect is used to track the 3D pose of the sensor and reconstruct, geometrically precise, ...
KinectFusion: Real-time dense surface mapping and tracking
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We present a system for accurate real-time mapping of complex and arbitrary indoor scenes in variable lighting conditions, using only a moving low-cost depth camera and commodity graphics hardware. We fuse all of the depth data streamed from a Kinect ...
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Using a Microsoft Kinect camera, the KinectFusion system enables a low-cost way for a user to digitally reconstruct a whole room and its contents within seconds. As the space is explored, new views of the arbitrary scene and objects are revealed and ...

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Published In

SIGGRAPH '11: ACM SIGGRAPH 2011 Talks

August 2011

73 pages

ISBN:9781450309745

DOI:10.1145/2037826

Conference Chair:
Mark Elendt
Side Effects Software Inc.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 07 August 2011

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SIGGRAPH '11: Special Interest Group on Computer Graphics and Interactive Techniques Conference

August 7 - 11, 2011

British Columbia, Vancouver, Canada

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Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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Meden BVega PDe Chamisso FBourgeois S(2024)Introducing CEA-IMSOLD: an Industrial Multi-Scale Object Localization Dataset2024 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA57147.2024.10609999(17020-17026)Online publication date: 13-May-2024
https://doi.org/10.1109/ICRA57147.2024.10609999
Wang MQi Y(2024)Efficient Sampling and Volume Rendering Strategy for Neural Field SLAM2024 IEEE International Conference on Multimedia and Expo (ICME)10.1109/ICME57554.2024.10688267(1-6)Online publication date: 15-Jul-2024
https://doi.org/10.1109/ICME57554.2024.10688267
Khan NKim MTompkin J(2024)Are Multi-view Edges Incomplete for Depth Estimation?International Journal of Computer Vision10.1007/s11263-023-01890-y132:7(2639-2673)Online publication date: 12-Feb-2024
https://doi.org/10.1007/s11263-023-01890-y
Tang YZhang JYu ZWang HXu K(2023)MIPS-Fusion: Multi-Implicit-Submaps for Scalable and Robust Online Neural RGB-D ReconstructionACM Transactions on Graphics10.1145/361836342:6(1-16)Online publication date: 5-Dec-2023
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Liu FZhang CZheng YDuan Y(2023)Semantic Ray: Learning a Generalizable Semantic Field with Cross-Reprojection Attention2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52729.2023.01668(17386-17396)Online publication date: Jun-2023
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Lin MHou GTang L(2023)MGFusion:A Large-Scale Realtime 3D Reconstruction Based on Movable Grid2023 China Automation Congress (CAC)10.1109/CAC59555.2023.10450558(8290-8294)Online publication date: 17-Nov-2023
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Luo FZhu YFu YZhou HChen ZXiao C(2023)Sparse RGB-D images create a real thing: A flexible voxel based 3D reconstruction pipeline for single objectVisual Informatics10.1016/j.visinf.2022.12.0027:1(66-76)Online publication date: Mar-2023
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Li XLi GLi TMitrouchev P(2023)Human body construction based on combination of parametric and nonparametric reconstruction methodsThe Visual Computer10.1007/s00371-023-03122-340:8(5557-5573)Online publication date: 1-Nov-2023
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Guan YHou XWu NHan BHan TBulusu NAryafar EBalasubramanian ASong J(2022)DeepMixProceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services10.1145/3498361.3538945(28-41)Online publication date: 27-Jun-2022
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KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera

KinectFusion: Real-time dense surface mapping and tracking

KinectFusion rapid 3D reconstruction and interaction with Microsoft Kinect

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KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera

KinectFusion: Real-time dense surface mapping and tracking

KinectFusion rapid 3D reconstruction and interaction with Microsoft Kinect

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