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Outputs (2673)

Bayesian classification of shapes hidden in point cloud data (2009)
Presentation / Conference Contribution
Srivastava, A., & Jermyn, I. (2009). Bayesian classification of shapes hidden in point cloud data. In IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009 (DSP/SPE 2009) ; proceedings (359-364). https://doi.org/10.1109/dsp.2009.4785949

An interesting challenge in image processing is to classify shapes of polygons formed by selecting and ordering points in a 2D cluttered point cloud. This kind of data can result, for example, from a simple preprocessing of images containing objects... Read More about Bayesian classification of shapes hidden in point cloud data.

A phase field higher-order active contour model of directed networks (2009)
Presentation / Conference Contribution
El Ghoul, A., Jermyn, I., & Zerubia, J. (2009). A phase field higher-order active contour model of directed networks. In 2009 IEEE 12th International Conference on Computer Vision Workshops ; proceedings (398-404). https://doi.org/10.1109/iccvw.2009.5457672

The segmentation of directed networks is an important problem in many domains, e.g. medical imaging (vascular networks) and remote sensing (river networks). Directed networks carry a unidirectional flow in each branch, which leads to characteristic g... Read More about A phase field higher-order active contour model of directed networks.

A theoretical and numerical study of a phase field higher-order active contour model of directed networks (2010)
Presentation / Conference Contribution
El Ghoul, A., Jermyn, I., & Zerubia, J. (2010). A theoretical and numerical study of a phase field higher-order active contour model of directed networks. In R. Kimmel, R. Klette, & A. Sugimoto (Eds.), Computer Vision – ACCV 2010: 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010 ; revised selected papers, Part II (647-659). https://doi.org/10.1007/978-3-642-19309-5_50

We address the problem of quasi-automatic extraction of directed networks, which have characteristic geometric features, from images. To include the necessary prior knowledge about these geometric features, we use a phase field higher-order active co... Read More about A theoretical and numerical study of a phase field higher-order active contour model of directed networks.

Region Extraction from Multiple Images (2001)
Presentation / Conference Contribution
Ishikawa, H., & Jermyn, I. (2001). Region Extraction from Multiple Images. In Eighth IEEE International Conference on Computer Vision (ICCV 2001) : July 7-14, 2001, Vancouver, British Columbia, Canada ; proceedings (509-516). https://doi.org/10.1109/iccv.2001.937559

We present a method for region identification in multiple images. A set of regions in different images and the correspondences on their boundaries can be thought of as a boundary in the multi-dimensional space formed by the product of the individual... Read More about Region Extraction from Multiple Images.

Texture Discrimination Using Multimodal Wavelet Packet Subbands (2004)
Presentation / Conference Contribution
Cossu, R., Jermyn, I., & Zerubia, J. (2004). Texture Discrimination Using Multimodal Wavelet Packet Subbands. In 2004 International Conference on Image Processing (ICIP '04) : proceedings : 24-27 October, 2004, Singapore (1493-1496). https://doi.org/10.1109/icip.2004.1421347

The subband histograms of wavelet packet bases adapted to individual texture classes often fail to display the leptokurtotic behaviour shown by the standard wavelet coefficients of 1natural' images. While many subband histograms remain leptokurtotic... Read More about Texture Discrimination Using Multimodal Wavelet Packet Subbands.

Urban Road Extraction from VHR Images Using a Multiscale Image Model and a Phase Field Model of Network Geometry (2007)
Presentation / Conference Contribution
Peng, T., Jermyn, I., Prinet, V., & Zerubia, J. (2007). Urban Road Extraction from VHR Images Using a Multiscale Image Model and a Phase Field Model of Network Geometry. In 2007 Urban Remote Sensing Joint Event ; proceedings (1-5). https://doi.org/10.1109/urs.2007.371835

This paper addresses the problem of automatically extracting the main road network in a dense urban area from a very high resolution optical satellite image using a variational approach. The model energy has two parts: a phase field higher-order acti... Read More about Urban Road Extraction from VHR Images Using a Multiscale Image Model and a Phase Field Model of Network Geometry.

Riemannian Analysis of Probability Density Functions with Applications in Vision (2007)
Presentation / Conference Contribution
Joshi, S., Srivastava, A., & Jermyn, I. (2007). Riemannian Analysis of Probability Density Functions with Applications in Vision. In 2007 IEEE Conference on Computer Vision and Pattern Recognition ; proceedings (1664-1671). https://doi.org/10.1109/cvpr.2007.383188

Applications in computer vision involve statistically analyzing an important class of constrained, nonnegative functions, including probability density functions (in texture analysis), dynamic time-warping functions (in activity analysis), and re-par... Read More about Riemannian Analysis of Probability Density Functions with Applications in Vision.

An extended phase field higher-order active contour model for networks and its application to road network extraction from VHR satellite images (2008)
Presentation / Conference Contribution
Peng, T., Jermyn, I., Prinet, V., & Zerubia, J. (2008). An extended phase field higher-order active contour model for networks and its application to road network extraction from VHR satellite images. In D. Forsyth, P. Torr, & A. Zisserman (Eds.), Computer Vision - ECCV 2008 ; part III (509-520). https://doi.org/10.1007/978-3-540-88690-7_38

This paper addresses the segmentation from an image of entities that have the form of a 'network', i.e. the region in the image corresponding to the entity is composed of branches joining together at junctions, e.g. road or vascular networks. We pres... Read More about An extended phase field higher-order active contour model for networks and its application to road network extraction from VHR satellite images.

A Markov random field model for extracting near-circular shapes (2009)
Presentation / Conference Contribution
Blaskovics, T., Kato, Z., & Jermyn, I. (2009). A Markov random field model for extracting near-circular shapes. In 2009 IEEE International Conference on Image Processing ICIP 2009 ; proceedings (1073-1076). https://doi.org/10.1109/icip.2009.5413472

We propose a binary Markov random field (MRF) model that assigns high probability to regions in the image domain consisting of an unknown number of circles of a given radius. We construct the model by discretizing the `gas of circles' phase field mod... Read More about A Markov random field model for extracting near-circular shapes.

Segmentation of networks from VHR remote sensing images using a directed phase field HOAC model (2010)
Presentation / Conference Contribution
El Ghoul, A., Jermyn, I., & Zerubia, J. (2010). Segmentation of networks from VHR remote sensing images using a directed phase field HOAC model. In N. Paparoditis, M. PierrotDeseilligny, E. Mallet, & O. Tournaire (Eds.), PCV 2010: Photogrammetric computer vision and image analysis part 1 (215-220)

We propose a new algorithm for network segmentation from very high resolution (VHR) remote sensing images. The algorithm performs this task quasi-automatically, that is, with no human intervention except to fix some parameters. The task is made diffi... Read More about Segmentation of networks from VHR remote sensing images using a directed phase field HOAC model.