Fast conditioning algorithm for significant zero curvature detection
Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 23-30 |
| Journal / Publication | IEE Proceedings: Vision, Image and Signal Processing |
| Volume | 144 |
| Issue number | 1 |
| Publication status | Published - 1997 |
Link(s)
Abstract
Traditional approaches to zero curvature detection rely heavily on discrete curvature estimation done in scale-space, which is costly to compute. The authors report their work on achieving a quick approximation by using conditioning. The algorithm is efficient and the zero curvature points detected are stable across scales. © IEE, 1997.
Research Area(s)
- Fast conditioning algorithm, Scale-space, Zero curvature detection
Citation Format(s)
Fast conditioning algorithm for significant zero curvature detection. / Ip, H. H S; Wong, W. H.
In: IEE Proceedings: Vision, Image and Signal Processing, Vol. 144, No. 1, 1997, p. 23-30.
In: IEE Proceedings: Vision, Image and Signal Processing, Vol. 144, No. 1, 1997, p. 23-30.
Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal
