Abstract
The volume of raw range image data that is required to represent just a single scene can be extensive; hence direct interpretation of range images can incur a very high computational cost. Range image feature extraction has been identified as a mechanism to produce a more compact scene representation, in particular using features such as edges and surfaces, and hence enables less costly scene interpretation for applications such as object recognition and robot navigation. We present an approach to edge detection in range images that can be used directly with any range data, regardless of whether the data have regular or irregular spatial distribution. The approach is evaluated with respect to accuracy of both edge location and visual results are also provided.
Similar content being viewed by others
References
Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 8(6) (1986)
Gachter, S., Nguyen, V., Siegwart, R.: Result of range image segmentation for service robots. In: Proc of 4th IEEE International Conference on Computer Vision Systems, pp. 53–61 (2006)
Goldgof, D.B., et al.: A curvature-based approach to terrain recognition. IEEE Trans. Pattern Anal. Mach. Intell. 11, 1213–1217 (1989)
Flynn, P.J., Jain, A.K.: BONSAI: 3D object recognition using constrained search. IEEE Trans. Pattern Anal. Mach. Intell. 13(10), 1066–1075 (1991)
Jiang, X.Y., Bunke, H.: Fast segmentation of range images into planar regions by scan line grouping. Mach. Vis. Appl. 7(2), 115–122 (1994)
Trucco, E., Fisher, R.B.: Experiments in curvature-based segmentation of range data. IEEE Trans. Pattern Anal. Mach. Intell. 17(2), 177–182 (1995)
Sze, C.-J., Liao, H.-Y.M., Hung, H.-L., Fan, K.-C., Hsieh, J.-W.: Multiscale edge detection on range images via normal changes. IEEE Trans. Circuits Syst., II Analog Digit. Signal Process. 45(8), 1087–1092 (1998)
Besl, P.J., Jain, R.C.: Invariant surface characteristics for three-dimensional object recognition in range images. CVGIP 33, 33–80 (1986)
Hsieh, J.W., Ko, M.T., Liao, H.Y.M., Fan, C.K.: A new wavelet-based edge detector via constrained optimization. Image Vis. Comput. 15, 511–527 (1997)
Mallat, S., Zhong, S.: Characterization of signal from multi-scale edges. IEEE Trans. Pattern Anal. Mach. Intell. 14(7), 710–732 (1992)
Kaveti, S., et al.: Second-order implicit polynomials for segmentation of range images. Pattern Recognit. 29(6), 937–949 (1996)
Flynn, P.J., Jain, A.K.: BONSAI: 3D object recognition using constrained search. IEEE Trans. Pattern Anal. Mach. Intell. 13(10), 1066–1075 (1991)
Goldgof, D.B., et al.: A curvature-based approach to terrain recognition. IEEE Trans. Pattern Anal. Mach. Intell. 11, 1213–1217 (1989)
Jiang, X., Bunke, H.: Edge detection in range images based on scan line approximation. Comput. Vis. Image Underst. 73(2), 183–199 (1999)
Trucco, E., Fisher, R.B.: Experiments in curvature-based segmentation of range data. IEEE Trans. Pattern Anal. Mach. Intell. 17(2), 177–182 (1995)
Colombo, A., Cusano, C., Schettini, R.: Face a 2D+3D robust face recognition system. In: Proc of IEEE International Conference on Image Analysis and Processing, pp. 393–398 (2007)
Queirolo, C., Segundo, M.P., Bellon, O., Silva, L.: Noise versus facial expression on 3D face recognition. In: Proc of IEEE International Conference on Image Analysis and Processing, pp. 171–176 (2007)
Huq, S., Abidi, B., Abidi, M.: Stereo-based 3D face modelling using annealing in local energy minimization. In: Proc of IEEE International Conference on Image Analysis and Processing, pp. 265–270 (2007)
Jain, A.K., Dorai, C.: 3D object recognition: representation and matching. Stat. Comput. 10, 167–182 (2000)
Yu, Y., Ferencz, A., Malik, J.: Extracting objects from range and radiance images. IEEE Trans. Vis. Comput. Graph. 7(4), 351–364 (2001)
Thakoor, N., Jung, S., Gao, J.: Real-time planar surface segmentation in disparity space. In: Proc of IEEE International Conference on Computer Vision and Pattern Recognition, pp. 1–8 (2007)
Kern, W.F., Bland, J.R.: Solid Mensuration with Proofs, 2nd edn. Wiley, New York (1948)
Becker, E.B., Carey, G.G., Oden, J.T.: Finite Elements: An Introduction. Prentice Hall, London (1981)
Abdou, B., Pratt, W.K.: Quantitative design and evaluation of enhancement/threshold edge detectors. In: Proc. of the IEEE, Vol. 67, No. 5, May 1979
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Suganthan, S., Coleman, S.A. & Scotney, B.W. Using Dihedral Angles for Edge Extraction in Range Data. J Math Imaging Vis 38, 108–118 (2010). https://doi.org/10.1007/s10851-010-0213-7
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10851-010-0213-7