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Outputs (2673)

A New Phase Field Model of a `Gas of Circles' for Tree Crown Extraction from Aerial Images (2007)
Presentation / Conference Contribution
Horváth, P., & Jermyn, I. (2007). A New Phase Field Model of a `Gas of Circles' for Tree Crown Extraction from Aerial Images. In W. G. Kropatsch, M. Kampel, & A. Hanbury (Eds.), Computer analysis of images and patterns: 12th International Conference (CAIP 2007), Vienna, Austria, August 27-29, 2007 ; proceedings (702-709). https://doi.org/10.1007/978-3-540-74272-2

We describe a model for tree crown extraction from aerial images, a problem of great practical importance for the forestry industry. The novelty lies in the prior model of the region occupied by tree crowns in the image, which is a phase field versio... Read More about A New Phase Field Model of a `Gas of Circles' for Tree Crown Extraction from Aerial Images.

Globally optimal regions and boundaries (1999)
Presentation / Conference Contribution
Jermyn, I., & Ishikawa, H. (1999). Globally optimal regions and boundaries. In The proceedings of seventh IEEE International Conference on Computer Vision, September 20-27, 1999, Kerkyra, Greece (904-910). https://doi.org/10.1109/iccv.1999.790318

We propose a new form of energy functional for the segmentation of regions in images, and an efficient method for finding its global optima. The energy can have contributions from both the region and its boundary, thus combining the best features of... Read More about Globally optimal regions and boundaries.

Gap Closure in (Road) Networks Using Higher-Order Active Contours (2004)
Presentation / Conference Contribution
Rochery, M., Jermyn, I., & Zerubia, J. (2004). Gap Closure in (Road) Networks Using Higher-Order Active Contours. In 2004 International Conference on Image Processing (ICIP '04) : proceedings : 24-27 October, 2004, Singapore (1879-1882). https://doi.org/10.1109/icip.2004.1421444

We present a new model for the extraction of networks from images in the presence of occlusions. Such occlusions cause gaps in the extracted network that need to he closed. Using higher-order active contours, which allow the incorporation of sophisti... Read More about Gap Closure in (Road) Networks Using Higher-Order Active Contours.

A Phase Field Model Incorporating Generic and Specific Prior Knowledge Applied to Road Network Extraction from VHR Satellite Images (2007)
Presentation / Conference Contribution
Peng, T., Jermyn, I., Prinet, V., Zerubia, J., & Hu, B. (2007). A Phase Field Model Incorporating Generic and Specific Prior Knowledge Applied to Road Network Extraction from VHR Satellite Images. In N. . M. Rajpoot, & A. . H. Bhalerao (Eds.), Proceedings of the British Machine Vision Conference 2007 (1-10). https://doi.org/10.5244/c.21.89

We address the problem of updating road maps in dense urban areas by extracting the main road network from a very high resolution (VHR) satellite image. Our model of the region occupied by the road network in the image is innovative. It incorporates... Read More about A Phase Field Model Incorporating Generic and Specific Prior Knowledge Applied to Road Network Extraction from VHR Satellite Images.

Texture-adaptive mother wavelet selection for texture analysis (2005)
Presentation / Conference Contribution
Abhayaratne, G., Jermyn, I., & Zerubia, J. (2005). Texture-adaptive mother wavelet selection for texture analysis. In 2005 International Conference on Image Processing (ICIP) : September 11-14, 2005, Genova, Italy (1290-1293). https://doi.org/10.1109/icip.2005.1530299

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.

Indexing of mid-resolution satellite images with structural attributes (2008)
Presentation / Conference Contribution
Bhattacharya, A., Roux, M., Maitre, H., Jermyn, I., Descombes, X., & Zerubia, J. (2008). Indexing of mid-resolution satellite images with structural attributes. In C. Jun, J. Jie, & S. Nayak (Eds.), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, part B4 (187-192)

Satellite image classification has been a major research field for many years with its varied applications in the field of Geography, Geology, Archaeology, Environmental Sciences and Military purposes. Many different techniques have been proposed to... Read More about Indexing of mid-resolution satellite images with structural attributes.

A Novel Representation for Riemannian Analysis of Elastic Curves in R^{n} (2007)
Presentation / Conference Contribution
Joshi, S., Klassen, E., Srivastava, A., & Jermyn, I. (2007). A Novel Representation for Riemannian Analysis of Elastic Curves in R^{n}. In 2007 IEEE Conference on Computer Vision and Pattern Recognition (1-7). https://doi.org/10.1109/cvpr.2007.383185

We propose a novel representation of continuous, closed curves in Rn that is quite efficient for analyzing their shapes. We combine the strengths of two important ideas-elastic shape metric and path-straightening methods - in shape analysis and prese... Read More about A Novel Representation for Riemannian Analysis of Elastic Curves in R^{n}.

Phase diagram of a long bar under a higher-order active contour energy: application to hydrographic network extraction from VHR satellite images (2008)
Presentation / Conference Contribution
El Ghoul, A., Jermyn, I., & Zerubia, J. (2008). Phase diagram of a long bar under a higher-order active contour energy: application to hydrographic network extraction from VHR satellite images. In 19th International Conference on Pattern Recognition 2008, (ICPR 2008) (1-4). https://doi.org/10.1109/icpr.2008.4761894

The segmentation of networks is important in several imaging domains, and models incorporating prior shape knowledge are often essential for the automatic performance of this task. Higher-order active contours provide a way to include such knowledge,... Read More about Phase diagram of a long bar under a higher-order active contour energy: application to hydrographic network extraction from VHR satellite images.

Inflection point model under phase field higher-order active contours for network extraction from VHR satellite images (2009)
Presentation / Conference Contribution
El Ghoul, A., Jermyn, I., & Zerubia, J. (2009). Inflection point model under phase field higher-order active contours for network extraction from VHR satellite images. In 17th European Signal Processing Conference 2009 ; proceedings (607-611)

The segmentation of networks is important in several imaging domains, and models incorporating prior shape knowledge are often essential for the automatic performance of this task. We incorporate such knowledge via phase fields and higher-order activ... Read More about Inflection point model under phase field higher-order active contours for network extraction from VHR satellite images.

A marked point process model with strong prior shape information for extraction of multiple, arbitrarily-shaped objects (2009)
Presentation / Conference Contribution
Kulikova, M., Jermyn, I., Descombes, X., Zhizhina, E., & Zerubia, J. (2009). A marked point process model with strong prior shape information for extraction of multiple, arbitrarily-shaped objects. In K. Yetongnon, R. Chbeir, & A. Dipanda (Eds.), The Fifth International Conference on Signal Image Technology & Internet Based Systems SITIS 2009 ; proceedings (180-186). https://doi.org/10.1109/sitis.2009.38

We define a method for incorporating strong prior shape information into a recently extended Markov point process model for the extraction of arbitrarily-shaped objects from images. To estimate the optimal configuration of objects, the process is sam... Read More about A marked point process model with strong prior shape information for extraction of multiple, arbitrarily-shaped objects.

A multi-layer `gas of circles' Markov random field model for the extraction of overlapping near-circular objects (2011)
Presentation / Conference Contribution
Nemeth, J., Kato, Z., & Jermyn, I. (2011). A multi-layer `gas of circles' Markov random field model for the extraction of overlapping near-circular objects. In J. Blanc-Talon, R. Kleihorst, W. Philips, D. Popescu, & P. Scheunders (Eds.), Advanced Concepts for Intelligent Vision Systems: 13th International Conference, ACIVS 2011, Ghent, Belgium, August 22-25, 2011, proceedings (171-182). https://doi.org/10.1007/978-3-642-23687-7_16

We propose a multi-layer binary Markov random field (MRF) model that assigns high probability to object configurations in the image domain consisting of an unknown number of possibly touching or overlapping near-circular objects of approximately a gi... Read More about A multi-layer `gas of circles' Markov random field model for the extraction of overlapping near-circular objects.

Extraction of arbitrarily shaped objects using stochastic multiple birth-and-death dynamics and active contours (2010)
Presentation / Conference Contribution
Kulikova, M., Jermyn, I., Descombes, X., Zhizhina, E., & Zerubia, J. (2010). Extraction of arbitrarily shaped objects using stochastic multiple birth-and-death dynamics and active contours. In C. Bouman, I. Pollak, & P. Wolfe (Eds.), Computational Imaging VIII: proceedings of SPIE-IS&T Electronic Imaging. https://doi.org/10.1117/12.839191

We extend the marked point process models that have been used for object extraction from images to arbitrarily shaped objects, without greatly increasing the computational complexity of sampling and estimation. The approach can be viewed as an extens... Read More about Extraction of arbitrarily shaped objects using stochastic multiple birth-and-death dynamics and active contours.

Leaving the sandbox: Third party validation for Java applications (1998)
Presentation / Conference Contribution
Jermyn, I., Monrose, F., & Wyckoff, P. (1998). Leaving the sandbox: Third party validation for Java applications. In N. Debnath (Ed.), ISCA 13th International Conference on Computers and Their Applications (CATA-98) : March 25-27, 1998, Honolulu, Hawaii, USA ; proceedings (436-439)

Judging whether multiple silhouettes can come from the same object (2001)
Presentation / Conference Contribution
Jacobs, D., Belhumeur, P., & Jermyn, I. (2001). Judging whether multiple silhouettes can come from the same object. In C. Arcelli, L. P. Cordella, & G. Sanniti di Baja (Eds.), Visual form 2001 : 4th International Workshop on Visual Form, IWVF4, Capri, Italy, May 28-30, 2001 ; proceedings (532-541). https://doi.org/10.1007/3-540-45129-3_49

We consider the problem of recognizing an object from its silhouette. We focus on the case in which the camera translates, and rotates about a known axis parallel to the image, such as when a mobile robot explores an environment. In this case we pres... Read More about Judging whether multiple silhouettes can come from the same object.

Texture Analysis Using Adaptive Biorthogonal Wavelet Packets (2004)
Presentation / Conference Contribution
Abhayaratne, G., Jermyn, I., & Zentbia, J. (2004). Texture Analysis Using Adaptive Biorthogonal Wavelet Packets. In 2004 International Conference on Image Processing : proceedings : (ICIP) : 24-27 October 2004, Singapore (1197-1200). https://doi.org/10.1109/icip.2004.1419519

We discuss the use of adaptive biorthogonal wavelet packet bases in a probabilistic approach to texture analysis, thus combining the advantages of biorthogonal wavelets (FIR, linear phase) with those of a coherent texture model. The computation of th... Read More about Texture Analysis Using Adaptive Biorthogonal Wavelet Packets.

Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves (2007)
Presentation / Conference Contribution
Joshi, S., Klassen, E., Srivastava, A., & Jermyn, I. (2007). Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves. In A. L. Yuille, S. C. Zhu, D. Cremers, & Y. T. Wang (Eds.), Energy minimization methods in computer vision and pattern recognition (387-398). https://doi.org/10.1007/978-3-540-74198-5_30

This paper illustrates and extends an efficient framework, called the square-root-elastic (SRE) framework, for studying shapes of closed curves, that was first introduced in [2]. This framework combines the strengths of two important ideas - elastic... Read More about Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves.

Indexing satellite images with features computed from man-made structures on the Earth’s surface (2007)
Presentation / Conference Contribution
Bhattacharya, A., Roux, M., Maitre, H., Jermyn, I., Descombes, X., & Zerubia, J. (2007). Indexing satellite images with features computed from man-made structures on the Earth’s surface. In 2007 International Workshop on Content-Based Multimedia Indexing ; proceedings (244-250). https://doi.org/10.1109/cbmi.2007.385418

Indexing and retrieval from remote sensing image databases relies on the extraction of appropriate information from the data about the entity of interest (e.g. land cover type) and on the robustness of this extraction to nuisance variables. Other ent... Read More about Indexing satellite images with features computed from man-made structures on the Earth’s surface.

Extraction of main and secondary roads in VHR images using a higher-order phase field model (2008)
Presentation / Conference Contribution
Peng, T., Jermyn, I., Prinet, V., & Zerubia, J. (2008). Extraction of main and secondary roads in VHR images using a higher-order phase field model. In J. Chen, J. Jiang, & W. Förstner (Eds.), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, part B3a (215-222)

This paper addresses the issue of extracting main and secondary road networks in dense urban areas from very high resolution (VHR, ~0.61m) satellite images. The difficulty with secondary roads lies in the low discriminative power of the grey-level di... Read More about Extraction of main and secondary roads in VHR images using a higher-order phase field model.