A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D edge detection using recursive filtering: application to scanner images
CVGIP: Image Understanding
Three-dimensional alpha shapes
ACM Transactions on Graphics (TOG)
Line search algorithms with guaranteed sufficient decrease
ACM Transactions on Mathematical Software (TOMS)
Numerical Recipes in C++: the art of scientific computing
Numerical Recipes in C++: the art of scientific computing
Skeletons in N dimensions using shape primitives
Pattern Recognition Letters
Pattern Recognition Letters
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Although edge detection is a well investigated topic, 3D edge detectors mostly lack either accuracy or speed. We will show, how to build a highly accurate subvoxel edge detector, which is fast enough for practical applications. In contrast to other approaches we use a spline interpolation in order to have an efficient approximation of the theoretically ideal sinc interpolator. We give theoretical bounds for the accuracy and show experimentally that our approach reaches these bounds while the often-used subpixel-accurate parabola fit leads to much higher edge displacements.