International Journal of Computer Vision
Global Minimum for Active Contour Models: A Minimal Path Approach
International Journal of Computer Vision
Computing Geodesics and Minimal Surfaces via Graph Cuts
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Globally Optimal Geodesic Active Contours
Journal of Mathematical Imaging and Vision
Fast Constrained Surface Extraction by Minimal Paths
International Journal of Computer Vision
On the Measurement of Curvature in a Quantized Environment
IEEE Transactions on Computers
Robust and efficient object segmentation using pseudo-elastica
Pattern Recognition Letters
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We introduce a new segmentation method based on second-order energies. Compared to the related works it has the significantly lower computational complexity O(N logN). The increased efficiency is achieved by integrating curvature approximation into a new bidirectional search scheme. Some heuristics are applied in the algorithm at the cost of exact energy minimisation. Our novel pseudo-elastica core algorithm is then incorporated into a user-guided segmentation scheme which represents a generalisation of classic first-order path-based schemes to second-order energies while maintaining the same low complexity. Our results suggest that, compared to first-order approaches, it scores similar or better results and usually requires considerably less user-input. As opposed to a recently introduced efficient second-order scheme, both closed contours and open contours with fixed endpoints can be computed with our technique.