All Outputs (5)

Phase field models and higher-order active contours (2005)
Presentation / Conference Contribution
Rochery, M., Jermyn, I., & Zerubia, J. (2005, October). Phase field models and higher-order active contours. Presented at IEEE International Conference on Computer Vision (ICCV), Beijing, China

The representation and modelling of regions is an important topic in computer vision. In this paper, we represent a region via a level set of a 'phase field' function. The function is not constrained, e.g. to be a distance function; nevertheless, pha... Read More about Phase field models and higher-order active contours.

Texture-adaptive mother wavelet selection for texture analysis (2005)
Presentation / Conference Contribution
Abhayaratne, G., Jermyn, I., & Zerubia, J. (2005, September). Texture-adaptive mother wavelet selection for texture analysis. Presented at IEEE International Conference on Image Processing (ICIP), Genova, Italy

Classification results obtained using wavelet-based texture analysis techniques vary with the choice of mother wavelet used in the methodology. We discuss the use of mother wavelet filters as parameters in a probabilistic approach to texture analysis... Read More about Texture-adaptive mother wavelet selection for texture analysis.

New higher-order active contour energies for network extraction (2005)
Presentation / Conference Contribution
Rochery, M., Jermyn, I., & Zerubia, J. (2005, September). New higher-order active contour energies for network extraction. Presented at IEEE International Conference on Image Processing (ICIP), Genoa, Italy

Using the framework of higher-order active contours, we present a new quadratic continuation energy for the extraction of line networks (e.g. road, hydrographic, vascular) in the presence of occlusions. Occlusions create gaps in the data that frequen... Read More about New higher-order active contour energies for network extraction.

Invariant Bayesian Estimation on Manifolds (2005)
Journal Article
Jermyn, I. (2005). Invariant Bayesian Estimation on Manifolds. Annals of Statistics, 33(2), 583-605. https://doi.org/10.1214/009053604000001273

A frequent and well-founded criticism of the maximum a posteriori (MAP) and minimum mean squared error (MMSE) estimates of a continuous parameter γ taking values in a differentiable manifold Γ is that they are not invariant to arbitrary “reparameteri... Read More about Invariant Bayesian Estimation on Manifolds.

Multimodal statistics of adaptive wavelet packet coefficients: experimental evidence and theory (2005)
Presentation / Conference Contribution
Cossu, R., Jermyn, I., & Zerubia, J. (2023, January). Multimodal statistics of adaptive wavelet packet coefficients: experimental evidence and theory. Presented at 4th International Conference on Physics in Signal and Image Processing, Toulouse, France

In recent work, it was noted that although the subband histograms for standard wavelet coefcients take on a generalized Gaussian form, this is no longer true for wavelet packet bases adapted to a given texture. Instead, three types of subband statist... Read More about Multimodal statistics of adaptive wavelet packet coefficients: experimental evidence and theory.