IPSJ SIG Technical Report Tutorial: Active 3D reconstruction of moving objects HIROSHI KAWASAKI, 1 RYUSUKE SAGAWA 2 and RYO FURUKAWA 3 Rec
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1 Tutorial: Active 3D reconstruction of moving objects HIROSHI KAWASAKI, 1 RYUSUKE SAGAWA 2 and RYO FURUKAWA 3 Recently, 3D scanning devices which can capture moving objects are now widely available even in supermarket. Although such devices can retrieve depth information of the scene almost in realtime, accuracy, resolution and fps are significantly different each other. Indeed, 3D reconstruction algorithm for each device is also different and we still have no idea which one becomes most popular in the near future. In this tutorial, we introduce basic algorithm of current 3D scanning devices as well as new technology proposed recently Kagoshima University 2 National Institute of Advanced Industrial Science and Technology 3 Hiroshima City University TOF (time-of-flight) TOF 6),24) 30FPS 1 c 2011 Information Processing Society of Japan
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7 8 ( ) ( ) ( 3) ) ( )Koninckx ),22),23),34),36),42) ID 36) RGB 34) 42) 9 ( )M-array Murano 26) ( )2*2 Cell Kimura 20) ( )Kinect 30). On/Off 23) 2) Koninckx 21) ( ) ID 22) On/Off 7 c 2011 Information Processing Society of Japan
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9 ( 13) 11) 17),32),37) 6.3 CG Kinect (a)frame No. 809/1000 fps. (b)frame No. 824/1000 fps. 11 frame no. 12/300fps. frame no. 19/300fps. 12 Results of a exploding balloon. Results of a breaking dish. 3 32) 28) 9 c 2011 Information Processing Society of Japan
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11 IEEE Trans. on PAMI, Vol.28, No.3, pp (2006). 23) Maruyama, M. and Abe, S.: Range sensing by projecting multiple slits with random cuts, SPIE Optics, Illumination, and Image Sensing for Machine Vision IV, Vol.1194, pp (1989). 24) Mesa Imaging AG.: SwissRanger SR ) Microsoft: Xbox 360 Kinect. 26) Morano, R.A., Ozturk, C., Conn, R., Dubin, S., Zietz, S. and Nissanov, J.: Structured light using pseudorandom codes, IEEE Trans. on PAMI, Vol.20, No.3, pp (1998). 27) Narasimhan, S.G., Koppal, S.J., and Yamazaki, S.: Temporal Dithering of Illumination for Fast Active Vision, Proc. European Conference on Computer Vision, pp (2008). 28) Ogawara, K., Furukawa, R., Sagawa, R. and Kawasaki, H.: Marker-less Motion Capture using Dense Human-body Shape Scanning System, 3DPVT (2011). 29) Pan, J., Huang, P.S. and Chiang, F.-P.: Color-coded binary fringe projection technique for 3-D shape measurement, Optical Engineering, Vol.44, No.2, pp (2005). 30) Primesense: United States Patent Application US 2010/ (2010j). 31) Rusinkiewicz, S., Hall-Holt, O. and Levoy, M.: Real-Time 3D Model Acquisition, Proc. SIGGRAPH, pp (2002). 32) Sagawa, R., Ota, Y., Yagi, Y., Furukawa, R., Asada, N. and Kawasaki, H.: Dense 3D reconstruction method using a single pattern for fast moving object, ICCV (2009). 33) Salvi, J., Batlle, J. and Mouaddib, E.M.: A robust-coded pattern projection for dynamic 3D scene measurement, Pattern Recognition, Vol.19, No.11, pp (1998). 34) Sato, K. and Inokuchi, S.: Range-Imaging System Utilizing Nematic Liquid Crystal Mask, Proc. Int. Conf. on Computer Vision, pp (1987). 35) Song, Z. and Chung, R.: Novel Method for Structured Light System Calibration, IEEE Transactions on Instrumentation and Measurement, Vol.57, No.11 (2010). 36) Tajima, J. and Iwakawa, M.: 3-D data acquisition by rainbow range finder, ICPR, pp (1990). 37) Ulusoy, A.O., Calakli, F. and Taubin, G.: One-Shot Scanning using De Bruijn Spaced Grids, The 7th IEEE Conf. 3DIM (2009). 38) Vuylsteke, P. and Oosterlinck, A.: Range Image Acquisition with a Single Binary-Encoded Light Pattern, IEEE Trans. Pattern Anal. Mach. Intell., Vol.12, No.2, pp (1990). 39) Weise, T., Leibe, B. and Gool, L.V.: Fast 3D Scanning with Automatic Motion Compensation, Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp.1 8 (2007). 40) Young, M., Beeson, E., Davis, J., Rusinkiewicz, S. and Ramamoorthi, R.: Viewpoint- Coded Structured Light, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR) (2007). 41) Zhang, L., Snavely, N., Curless, B. and Seitz, S. M.: Spacetime Faces: High-Resolution Capture for Modeling and Animation, ACM Annual Conference on Computer Graphics, pp (2004). 42) Zhang, S. and Huang, P.: High-resolution, Real-time 3D Shape Acquisition, Proc. Conference on Computer Vision and Pattern Recognition Workshop, p.28 (2004). 43) Zhang, S. and Haung, P.S.: Novel Method for Structured Light System Calibration, Optical Engineering, Vol.45, No.8 (2006). 44), CVIM IEEE Computer Society, pp.1 8 (2002). 11 c 2011 Information Processing Society of Japan
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1,a) 1,b) 1,c) 1,d) 2,e) 2,f) 2,g) 1. [1] [2] 2 [3] 1 599 8531 1 1 Osaka Prefecture University 1 1, Gakuencho, Naka, Sakai, Osaka 599 8531, Japan 2 565 0871 Osaka University 1 1, Yamadaoka, Suita, Osaka
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