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A Method for Calibrating a Motorized Object Rig

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Computer Vision – ACCV 2006 (ACCV 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3851))

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Abstract

Object Movies (OMs) have been successfully used in many applications. However, the techniques for acquiring OMs still need to be improved if high-quality and efficient OMs are desired. In this paper, we present a method for calibrating a motorized object rig to facilitate the acquisition of OMs. We first apply the CPC kinematic model to formulate the 3D configuration of the device, and then propose a method to estimate the parameters of the CPC model of the device. Furthermore, a visual tool is provided for users to adjust the controllable axes of the rig according to the estimated results. After this calibration, more accurate camera parameters can be obtained and then be used for different purposes. In this work, we use the parameters to reconstruct, from an OM, the 3D model of the object, and then adjust the OM according to the center of the 3D model so that a high-quality OM can be obtained for rendering.

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References

  1. Agrawal, M., Davis, L.S.: Complete Camera Calibration Using Spheres: A Dual-Space Approach. In: IEEE International Conference on Computer Vision, vol. 2 (2003)

    Google Scholar 

  2. Arun, K.S., Huang, T.S., Blostein, S.D.: Least-Squares Fitting of Two 3-D Point Sets. IEEE Transactions on Pattern Analysis and Machine Intelligence 9(5), 698–700 (1987)

    Article  Google Scholar 

  3. Chen, C.-S., Chang, W.-Y.: On Pose Recovery for Generalized Visual Sensors. IEEE Transactions on Pattern Analysis and Machine Intelligence 26(7), 848–861 (2004)

    Article  Google Scholar 

  4. Chen, S.E.: QuickTime VR – An Image-Based Approach to Virtual Environment Navigation. In: Proceedings of the 22nd annual conference on Computer graphics and interactive techniques, SIGGRAPH 1995, pp. 29–38 (1995)

    Google Scholar 

  5. Huang, C.R., Chen, C.S., Chung, P.C.: Tangible Photo-Realistic Virtual Museum. IEEE Computer Graphics and Applications 25(1), 15–17 (2005)

    Article  Google Scholar 

  6. Huang, P.-H.: Calibration of Motorized Object Rig and Its Applications, Master Thesis (2005)

    Google Scholar 

  7. Kato, H., Billinghurst, M.: Marker Tracking and HMD Calibration for a Video-based Augmented Reality Conferenciing. In: Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality, IWAR (1999)

    Google Scholar 

  8. Roberts, K.S.: A New Representation for a Line. In: Proceedings of Computer Vision and Pattern Recognition, June 1988, pp. 635–640 (1988)

    Google Scholar 

  9. Shih, S.W.: Kinematic and Camera Calibration of Reconfigurable Binocular Vision Systems, Ph.D. thesis, National Taiwan University (1995)

    Google Scholar 

  10. Zhang, Z.: A Flexible New Technique for Camera Calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(11), 1330–1334 (2000)

    Article  Google Scholar 

  11. Zhuang, H., Roth, Z.S., Hamano, F.: A Complete and Parametrically Continuous Kinematic Model for Robot Manipulators. IEEE Transactions on Robotics and Automation 8(4), 451–463 (1992)

    Article  Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Huang, PH., Tsai, YP., Lo, WY., Shih, SW., Chen, CS., Hung, YP. (2006). A Method for Calibrating a Motorized Object Rig. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3851. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612032_39

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  • DOI: https://doi.org/10.1007/11612032_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31219-2

  • Online ISBN: 978-3-540-32433-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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