1 March 1990 Canonical Parameters for Invariant Surface Representation
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Proceedings Volume 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques; (1990) https://doi.org/10.1117/12.969724
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
Three-dimensional viewpoint invariance can be an important requirement on the representation of surfaces for recognition tasks. In general, the parameters in a parametric surface representation can be arbitrarily defined. A canonical, intrinsic parameterization provides us with a consistent, invariant form for describing surfaces. Our goal here is to define and construct such a parametrization. This paper presents an efficient technique for invariant surface reconstruction from a depth map. Our approach, which is based on a differential geometric analysis of surfaces, is computationally efficient compared to prior invariant representations. We present a two stage technique for the construction of a canonical parameterization of the surface in terms of arc lengths along lines of curvature. The first stage requires the minimization of a parameterized functional, which leads to a locally-coupled, sparse linear system solvable using efficient iterative methods. This minimization yields a surface that is invariant to 3D rigid motion. This is followed by the second stage, involving the computation of canonical parameter curves namely, the lines of curvature, and the numerical generation of a new grid on the surface which incorporates these parameters. We present experimental results on synthetically generated sparse noisy data.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. C. Vemuri, B. C. Vemuri, D. Terzopoulos, D. Terzopoulos, P. J. Lewicki, P. J. Lewicki, } "Canonical Parameters for Invariant Surface Representation", Proc. SPIE 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, (1 March 1990); doi: 10.1117/12.969724; https://doi.org/10.1117/12.969724


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