|Title||Precise high-speed multi-target multi-sensor local positioning system|
|Publication Type||Conference Paper|
|Year of Publication||2011|
|Authors||Eichel, J. A., D. A. Clausi, and P. Fieguth|
|Conference Name||8th Canadian Conference on Computer and Robot Vision|
|Conference Location||St. Johns, Newfoundland|
Identifying the surfaces of three-dimensional static objects or of two-dimensional objects over time are key to a variety of applications throughout computer vision. Active surface techniques have been widely applied to such tasks, such that a deformable spline surface evolves by the influence of internal and external (typically opposing) energies until the model converges to the desired surface. Present deformable model surface extraction techniques are computationally expensive and are not able to reliably identify surfaces in the presence of noise, high curvature, or clutter.