The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Scanning 3D Full Human Bodies Using Kinects
Abstract
Depth camera such as Microsoft Kinect, is much cheaper than conventional 3D scanning devices, and thus it can be acquired for everyday users easily. However, the depth data captured by Kinect over a certain distance is of extreme low quality. In this paper, we present a novel scanning system for capturing 3D full human body models by using multiple Kinects. To avoid the interference phenomena, we use two Kinects to capture the upper part and lower part of a human body respectively without overlapping region. A third Kinect is used to capture the middle part of the human body from the opposite direction. We propose a practical approach for registering the various body parts of different views under non-rigid deformation. First, a rough mesh template is constructed and used to deform successive frames pairwisely. Second, global alignment is performed to distribute errors in the deformation space, which can solve the loop closure problem efficiently. Misalignment caused by complex occlusion can also be handled reasonably by our global alignment algorithm. The experimental results have shown the efficiency and applicability of our system. Our system obtains impressive results in a few minutes with low price devices, thus is practically useful for generating personalized avatars for everyday users. Our system has been used for 3D human animation and virtual try on, and can further facilitate a range of home–oriented virtual reality (VR) applications.
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Cites
A method for registration of 3-D shapes
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KinectFusion: Real-time dense surface mapping and tracking
Newcombe, R. A., Fitzgibbon, A., Izadi, S., Hilliges, O., Molyneaux, D., Kim, D., Davison, A. J., Kohi, P., Shotton, J., & Hodges, S. (2011) · 2011 10th IEEE International Symposium on Mixed and Augmented Reality · doi:10.1109/ismar.2011.6092378 · Cited by 4,008
Poisson Surface Reconstruction
Kazhdan, M. M., Bolitho, M., & Hoppe, H. (2006) · doi:10.2312/sgp/sgp06/061-070 · Cited by 2,125
Large steps in cloth simulation
Baraff, D., & Witkin, A. (1998) · Proceedings of the 25th annual conference on Computer graphics and interactive techniques - SIGGRAPH '98 · doi:10.1145/280814.280821 · Cited by 1,684
SCAPE: shape completion and animation of people
Anguelov, D., Srinivasan, P., Koller, D., Thrun, S., Rodgers, J., & Davis, J. (2005) · ACM Transactions on Graphics · doi:10.1145/1073204.1073207 · Cited by 1,489
Globally Consistent Range Scan Alignment for Environment Mapping
Lu, F., & Milios, E. (1997) · Autonomous Robots · doi:10.1023/a:1008854305733 · Cited by 1,304
Sorkine, O., Cohen-Or, D., Lipman, Y., Alexa, M., Rössl, C., & Seidel, H.-P. (2004) · Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry processing · doi:10.1145/1057432.1057456 · Cited by 1,154
The space of human body shapes: reconstruction and parameterization from range scans
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RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments
Henry, P., Krainin, M., Herbst, E., Ren, X., & Fox, D. (2014) · Springer Tracts in Advanced Robotics · doi:10.1007/978-3-642-28572-1_33 · Cited by 809
The space of human body shapes: reconstruction and parameterization from range scans
Allen, B., Curless, B., & Popović, Z. (2003) · ACM Transactions on Graphics · doi:10.1145/882262.882311 · Cited by 723
Cited by
State of the Art on 3D Reconstruction with RGB‐D Cameras
Zollhöfer, M., Stotko, P., Görlitz, A., Theobalt, C., Nießner, M., Klein, R., & Kolb, A. (2018) · Computer Graphics Forum · doi:10.1111/cgf.13386 · Cited by 339
VolumeDeform: Real-Time Volumetric Non-rigid Reconstruction
Innmann, M., Zollhöfer, M., Nießner, M., Theobalt, C., & Stamminger, M. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46484-8_22 · Cited by 308
A Survey of Applications and Human Motion Recognition with Microsoft Kinect
Lun, R., & Zhao, W. (2015) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001415550083 · Cited by 300
Metadata
- Authors
- Tong, J., Zhou, J., Liu, L., Pan, Z., & Yan, H.
- Venue
- IEEE Transactions on Visualization and Computer Graphics
- Published
- 2012-04
- Volume
- 18
- Issue
- 4
- Pages
- 643-650
- ISSN
- 1077-2626 (ISSN-L)
- OpenAlex
- W2008550072
- Cited by
- 498
- References
- 33
- FWCI
- 56.55
- Type
- journal article
- Language
- en
- Open access
- closed
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