|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
 Digg  Furl  Spurl  Blink  Simpy  Google  Del.icio.us  Y!MyWeb | ||
| Search | ||
| ||
| ASCII Text | x | ||
| Heung-Yeung Shum, Martial Hebert, Katsushi Ikuchi, Raj Reddy, "An Integral Approach to Free-Form Object Modeling," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, no. 12, pp. 1366-1370, December, 1997. | |||
| BibTex | x | ||
| @article{ 10.1109/34.643895, author = {Heung-Yeung Shum and Martial Hebert and Katsushi Ikuchi and Raj Reddy}, title = {An Integral Approach to Free-Form Object Modeling}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {19}, number = {12}, issn = {0162-8828}, year = {1997}, pages = {1366-1370}, doi = {http://doi.ieeecomputersociety.org/10.1109/34.643895}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Pattern Analysis and Machine Intelligence TI - An Integral Approach to Free-Form Object Modeling IS - 12 SN - 0162-8828 SP1366 EP1370 EPD - 1366-1370 A1 - Heung-Yeung Shum, A1 - Martial Hebert, A1 - Katsushi Ikuchi, A1 - Raj Reddy, PY - 1997 KW - 3D object modeling KW - free-form object modeling KW - multiple view merging KW - principal component analysis KW - resampling KW - local curvature. VL - 19 JA - IEEE Transactions on Pattern Analysis and Machine Intelligence ER - | |||
Abstract—This paper presents a new approach to free-form object modeling from multiple range images. In most conventional approaches, successive views are registered sequentially. In contrast to the sequential approaches, we propose an integral approach which reconstructs statistically optimal object models by simultaneously aggregating all data from multiple views into a weighted least-squares (WLS) formulation. The integral approach has two components. First, a global resampling algorithm constructs partial representations of the object from individual views, so that correspondence can be established among different views. Second, a weighted least-squares algorithm integrates resampled partial representations of multiple views, using the techniques of principal component analysis with missing data (PCAMD). Experiments show that our approach is robust against noise and mismatch.
[1] N. Ahuja and J. Veenstra,“Generating octrees from object silhouettes in orthographic views,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 11, pp. 137-149, 1989.
[2] F. Arman and J.K. Aggarwal, "Model-Based Object Recognition in Dense-Range Images—A Review," ACM Computing Surveys, vol. 25, no. 1, pp. 5-43, 1993.
[3] P.J. Besl and N.D. McKay, "A Method for Registration of 3D Shapes," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 14, no. 2, pp. 239-256, Feb. 1992.
[4] B. Bhanu, "Representation and Shape Matching of 3-D Objects," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 6, pp. 340-351, 1984.
[5] G. Champleboux, S. Lavallee, R. Szeliski, and L. Brunie, "From Accurate Range Imaging Sensor Calibration to Accurate Model-Based 3-D Object Localization," Proc. IEEE Computer Vision and Pattern Recognition Conf., pp. 83-89, June 1992.
[6] Y. Chen and G. Medioni, "Object Modeling by Registration of Multiple Range Images," Proc. IEEE Int'l Conf. Research and Applications, pp. 2,724-2,729, Apr. 1991.
[7] Y. Chen and G. Medioni, “Surface Description of Complex Objects from Multiple Range Images,” Proc. Conf. Computer Vision and Pattern Recognition, pp. 153-158, June 1994.
[8] H. Delingette, M. Hebert, and K. Ikeuchi, "A Spherical Representation for the Recognition of Curved Objects," Proc. Int'l Conf. Computer Vision '93,Berlin, 1993.
[9] F.P. Ferrie and M.D. Levine, "Integrating Information from Multiple Views," Proc. IEEE Workshop Computer Vision, pp. 117-122, 1987.
[10] K. Higuchi, M. Hebert, and K. Ikeuchi, "Building 3-D Models from Unregistered Range Images," CVGIP-GMIP, vol. 57, no. 4, pp. 315-333, July 1995.
[11] H. Hoppe, T. DeRose, T. Duchamp, M. Halstead, H. Jin, J. McDonald, J. Schweitzer, and W. Stuetzle, "Piecewise Smooth Surface Reconstruction," Computer Graphics SIGGRAPH '94, pp. 295-302, 1994.
[12] T. McInerney and D. Terzopoulos, "A Finite Element Model for 3D Shape Reconstruction and Nonrigid Motion Tracking," Proc. Fourth Int'l Conf. Computer Vision, pp. 518-523, 1993.
[13] B. Parvin and G. Medioni, "B-Rep from Unregistered Multiple Range Images," Proc. IEEE Int'l Conf. Research and Applications, pp. 1,602-1,607, May 1992.
[14] A. Ruhe, "Numerical Computation of Principal Components When Several Observations Are Missing," Technical Report UMINF-48-74, Dept. of Information Processing, Umea Univ., Umea, Sweden, 1974.
[15] H. Shum, K. Ikeuchi, and R. Reddy, Principal Component Analysis with Missing Data and Its Applications to Polyhedral Object Modeling IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 17, no. 9, pp. 854-867, Sept. 1995.
[16] H. Shum, M. Hebert, K. Ikeuchi, and R. Reddy, "An Integral Approach to Free-Form Object Modeling," Technical Report CMU-CS-95-135, Carnegie Mellon Univ., May 1995.
[17] M. Soucy and D. Laurendeau, "Multi-Resolution Surface Modeling from Multiple Range Views," Proc. IEEE Computer Visiion and Pattern Recognition Conf. '92, pp. 348-353, 1992.
[18] G. Taubin, "Estimating the Tensor of Curvature of a Surface from a Polyhedral Approximation," Proc. Int'l Conf. Computer Vision '95, pp. 902-907, 1995.
[19] G. Turk and M. Levoy, "Zippered Polygon Meshes from Range Images," Computer Graphics SIGGRAPH '94, pp. 311-318, 1994.
[20] M. Vasilescu and D. Terzopoulos, “Adaptive Meshes and Shells: Irregular Triangulation, Discontinuities and Hierarchical Subdivision,” Proc. Conf. Computer Vision and Pattern Recognition, pp. 829-832, June 1992.
[21] B.C. Vemuri and J.K. Aggarwal, "3-D Model Construction from Multiple Views Using Range and Intensity Data," Proc. Computer Vision and Pattern Recognition Conf., pp. 435-437, 1986.
[22] T. Wiberg, "Computation of Principal Components When Data Are Missing," Proc. Second Symp. Computational Statistics, pp. 229-236,Berlin, 1976.