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3D shape scanning with a Kinect

Published: 07 August 2011 Publication History

Abstract

We describe a method for 3D object scanning by aligning depth and color scans which were taken from around an object with a Kinect camera. Our easy-to-use, cost-effective scanning solution could make 3D scanning technology more accessible to everyday users and turn 3D shape models into a much more widely used asset for many new applications, for instance in community web platforms or online shopping.

Reference

[1]
Cui, Y., Schuon, S., Derek, C., Thrun, S., and Theobalt, C. 2010. 3d shape scanning with a time-of-flight camera. In Proc. of IEEE CVPR 2010.

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  • (2022)Automated 3D Scanning Device for the Production of Forearm Prostheses and OrthosesXXVII Brazilian Congress on Biomedical Engineering10.1007/978-3-030-70601-2_45(293-300)Online publication date: 15-Apr-2022
  • (2020)Neural3D: Light-weight Neural Portrait Scanning via Context-aware Correspondence LearningProceedings of the 28th ACM International Conference on Multimedia10.1145/3394171.3413734(3651-3660)Online publication date: 12-Oct-2020
  • (2019)Low-Cost 3D Scanning in a Smart Learning FactoryProcedia Manufacturing10.1016/j.promfg.2020.01.16338(824-831)Online publication date: 2019
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  1. 3D shape scanning with a Kinect

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      cover image ACM Conferences
      SIGGRAPH '11: ACM SIGGRAPH 2011 Posters
      August 2011
      92 pages
      ISBN:9781450309714
      DOI:10.1145/2037715
      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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      Published: 07 August 2011

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      • (2022)Automated 3D Scanning Device for the Production of Forearm Prostheses and OrthosesXXVII Brazilian Congress on Biomedical Engineering10.1007/978-3-030-70601-2_45(293-300)Online publication date: 15-Apr-2022
      • (2020)Neural3D: Light-weight Neural Portrait Scanning via Context-aware Correspondence LearningProceedings of the 28th ACM International Conference on Multimedia10.1145/3394171.3413734(3651-3660)Online publication date: 12-Oct-2020
      • (2019)Low-Cost 3D Scanning in a Smart Learning FactoryProcedia Manufacturing10.1016/j.promfg.2020.01.16338(824-831)Online publication date: 2019
      • (2019)A voxelize structured refinement method for registration of point clouds from Kinect sensorsEngineering Science and Technology, an International Journal10.1016/j.jestch.2018.09.01222:2(555-568)Online publication date: Apr-2019
      • (2018)iHuman3DProceedings of the 26th ACM international conference on Multimedia10.1145/3240508.3240600(1733-1741)Online publication date: 15-Oct-2018
      • (2017)Template Deformation-Based 3-D Reconstruction of Full Human Body Scans From Low-Cost Depth CamerasIEEE Transactions on Cybernetics10.1109/TCYB.2016.252440647:3(695-708)Online publication date: Mar-2017
      • (2017)Research on 3D reconstruction method of human-computer interaction scene based on support vector machine in cloud manufacturing environmentMultimedia Tools and Applications10.1007/s11042-016-3639-076:16(17145-17162)Online publication date: 1-Aug-2017
      • (2016)Cycled merging registration of point clouds for 3D human body modeling2016 First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE)10.1109/SPLIM.2016.7528394(1-5)Online publication date: Jul-2016
      • (2015)Presentation Attack Detection for Face Recognition Using Light Field CameraIEEE Transactions on Image Processing10.1109/TIP.2015.239595124:3(1060-1075)Online publication date: Mar-2015
      • (2015)Multi-contour initial pose estimation for 3D registration2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)10.1109/IROS.2015.7354003(4408-4414)Online publication date: Sep-2015
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