Searching for authors named "Nikos Paragios" – sorted by Relevance.
50 documents found, showing 1 through 10.
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A Level Set Approach for Shape-driven Segmentation and Tracking of the Left Ventricle
- …Knowledge-based segmentation has been explored significantly in medical imaging. Prior anatomical knowledge can be used to define constraints that can improve performance of segmentation algorithms to physically corrupted and incomplete data. In this paper our objective is to introduce such knowledg…
- Cited by 16 (0 self) – Add To MetaCart
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Higher Order Polynomials, Free Form Deformations and Optical Flow Estimation
- …In this paper, we propose a novel technique to represent and recover optical flow through free form deformations. Such a technique is based on representing the motion field using regular connected grids according to higher order polynomials, a compromise between dense motion estimation and parametri…
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Using Discrete Optimization and the α-Expansion Algorithm
- …In this paper we propose a novel technique that addresses image renaissance through a "multi-level" graph-based matching process. To this end, numerous image patches that do present similarities with the local content around the missing part are considered. The selection of these patches is done thr…
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Geodesic Active Regions for Tracking
- …In this paper we propose some new ideas for tracking multiple moving objects by the propagation of curves. We assume a static observer, as well as the existence of a background reference frame. The tracking is performed using an improved Geodesic Active Contour model that incorporates boundary-based…
- Cited by 3 (0 self) – Add To MetaCart
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Régions Actives Géodésiques et Courbes de Niveau pour l'Estimation du Mouvement et le Suivi d'Objets, Geodesic Active Regions and Level Sets for Motion Estimation and Tracking
- …This paper proposes a new front propagation method to deal accurately with the challenging problem of tracking non-rigid moving objects. This is obtained by employing a Geodesic Active Region model where the designed objective function is composed of boundary and region-based terms and optimizes the…
- Cited by 1 (0 self) – Add To MetaCart
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Unifying Boundary and Region-based information for Geodesic Active Tracking
- …This paper addresses the problem of tracking several non-rigid objects over a sequence of frames acquired from a static observer using boundary and region-based information under a coupled geodesic active contour framework. Given the current frame, a statistical analysis is performed on the observed…
- Cited by 25 (6 self) – Add To MetaCart
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Geodesic Active Regions for Texture Segmentation
- …This paper proposes a framework for segmenting different textured areas over synthetic or real textured frames by curves propagation. We assume that the system has the ability to be taught over different texture prototypes. For each prototype a global statistical model is generated, as a set of prob…
- Cited by 23 (7 self) – Add To MetaCart
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Geodesic Active Regions: A new framework to deal with frame partition problems in Computer Vision
- …This paper presents a novel variational framework for dealing with frame partition problems in Computer Vision by the propagation of curves. This framework integrates boundary and region-based frame partition modules under a curve-based energy framework, which aims at finding a set of minimal le…
- Cited by 27 (5 self) – Add To MetaCart
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Motion-Based Background Subtraction Using Adaptive Kernel Density Estimation
- …Background modeling is an important component of many vision systems. Existing work in the area has mostly addressed scenes that consist of static or quasi-static structures. When the scene exhibits a persistent dynamic behavior in time, such an assumption is violated and detection performance deter…
- Cited by 48 (0 self) – Add To MetaCart
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Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach
- …. This paper presents a novel variational method for image segmentation that unifies boundary and region-based information sources under the Geodesic Active Region framework. A statistical analysis based on the Minimum Description Length criterion and the Maximum Likelihood Principle for the obs…
- Cited by 47 (2 self) – Add To MetaCart
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