Extracting Meaningful Curves from Images
Journal of Mathematical Imaging and Vision
A probabilistic grouping principle to go from pixels to visual structures
DGCI'11 Proceedings of the 16th IAPR international conference on Discrete geometry for computer imagery
Direct energy minimization for super-resolution on nonlinear manifolds
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Accurate Junction Detection and Characterization in Natural Images
International Journal of Computer Vision
| Hi-index | 0.00 |
We propose a probabilistic algorithm able to detect the curves thatare unexpectedy smooth in a set of digital curves. The onlyparameter is a false alarme rate, influencing the detection only byits logarithm. We experiment the good continuation criterion onimage level lines. One of the conclusion is that, accordingly toGestalt Theory, onecan detect egdes in a way that is widelyindependent of contrast. We also use the same kind of method todetect corners and junctions.