Abstract.
This paper introduces a stereo vision system to automatically generate 3D models of real objects. 3D model generation is based on the merging of multiview range images obtained from a digital stereo camera. Stereo images obtained from the camera are rectified, and a correlation-based stereo matching technique reconstructs range images from them. A turntable stage is also employed to obtain multiple range images of the objects. To register range images into a common coordinate system automatically, we introduce and calibrate a turntable coordinate system with respect to the camera coordinate system. After the registration of multiview range images, a 3D model is reconstructed using a volumetric integration technique. Error analysis on turntable calibration and 3D model reconstruction shows the accuracy of our 3D modeling system.
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References
Allen P, Yang R (1998) Registering, integrating, and building CAD models from range data. In: IEEE international conference on robotics and automation, pp 3115-3120
Burt P (1983) The Laplacian pyramid as a compact image code. IEEE Trans Commun 31(4):532-540
Chen Q, Medioni G (1999) A volumetric stereo matching method: applications to image-based modeling. In: Proceedings of the conference on computer vision and pattern recognition
Curless B, Levoy M (1996) A volumetric method for building complex models from range images. In: Proceedings of SIGGRAPH, pp 303-312
Fitzgibbon A, Cross G, Zisserman A (1998) Automatic 3D model construction for turn-table sequences. In: European workshop SMILE’98. Lecture notes in computer science, vol 1506. Springer, Berlin Heidelberg New York, pp 155-170
Fussiello A, Trucco E, Verri A (2000) A compact algorithm for rectification of stereo pairs. Mach Vis Appl 12:16-22
Huber D (2001) Automatic 3D modeling using range images obtained from unknown viewpoints. In: Proceedings of the 3rd international conference on 3D digital imaging and modeling. IEEE Press, New York pp 153-160
Lander P (1998) A multi-camera method for 3D digitization of dynamic, real-world events. PhD dissertation, Carnegie Mellon University, Pittsburgh, PA
Levoy M(2000) The digital Michelangelo project: 3D scanning of large statues. In: Proceedings of SIGGRAPH, pp 131-144
Lorensen W, Cline H (1987) Marching Cubes: a high resolution 3D surface construction algorithm. Comput Graph 21(4):163-169
Mirtich B (1996) Fast and accurate computation of polyhedral mass properties. J Graph Tools 1(2):31-50
Niem W (1999) Automatic reconstruction of 3D objects using a mobile camera. Image Vis Comput 17:125-134
Okutomi M, Kanade T (1993) A multiple-baseline stereo. IEEE Trans Pattern Anal Mach Intell 15(4):353-363
Park S, Subbarao M (2002) Automatic 3D model reconstruction using voxel coding and pose integration. In: Proceedings of the international conference on image processing, pp 533-536
Park S, Subbarao M (2003) Automatic 3D reconstruction based on novel pose estimation and integration techniques. Image Vis Comput 22(8):623-635
Park S, Subbarao M (2003) An accurate and fast point-to-plane registration technique. Pattern Recog Lett 24 (16):2967-2976
Pulli K, Abi-Rached H, Duchamp T, Shapiro L, Stuetzle W (1998) Acquisition and visualization of colored 3D objects. In: IEEE international conference on pattern recognition, pp 11-15
Rander P, Narayanan P, Kanade T (1996) Recovery of dynamic scene structure from multiple image sequences. In: Proceedings of the international conference on multisensor fusion and integration for intelligence systems, pp 305-312
Rusinkiewicz S, Hall-Holt O, Levoy M (2002) Real-time 3D model acquisition. In: Proceedings of SIGGRAPH2002
Scharstein D, Szeliski R (2002) A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. Int J Comput Vis 47(1-3):7-42
Seitz S, Dyer CR (1997) Photorealistic scene reconstruction by voxel coloring. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1067-1073
Vedula S, Rander P, Saito H, Kanade T (1998) Modeling, combining, and rendering dynamic real-world events from image sequences. In: Proceedings of the 4th conference virtual systems and multimedia, 1:326-332
Wheeler M, Sato Y, Ikenuchi K (1998) Consensus surfaces for modeling 3D objects from multiple range images. In: IEEE conference on computer vision, pp 917-924
Zhang L, Curless B, Seitz S (2002) Rapid shape acquisition using color structured light and multi-pass dynamic programming. In: 1st international symposium on 3D data processing, visualization, and transmission, pp 24-36
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Received: 2 August 2003, Accepted: 20 September 2004, Published online: 25 February 2005
Correspondence to: S.Y. Park
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Park, SY., Subbarao, M. A multiview 3D modeling system based on stereo vision techniques. Machine Vision and Applications 16, 148–156 (2005). https://doi.org/10.1007/s00138-004-0165-2
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DOI: https://doi.org/10.1007/s00138-004-0165-2