This work describes PhotoPixJ 2.0, a system for integration and execution of Digital imageprocessing algorithms. PhotoPixJ 2.0 is the migration of the Java 1.0 based PhotoPixJ to Java 2 platform. It provides a multi-...
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In this paper we introduce a new mesh refinement method for subdivision surfaces. It generates a semiregular 4-direction hierarchical structure from control meshes representing 2D manifolds of arbitrary topology. The ...
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In order to populate virtual cities, it is necessary to specify the behaviour of dynamic entities such as pedestrians or car drivers. Since a complete mental model based on vision and imageprocessing cannot be constr...
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In order to populate virtual cities, it is necessary to specify the behaviour of dynamic entities such as pedestrians or car drivers. Since a complete mental model based on vision and imageprocessing cannot be constructed in real time using purely geometrical information, higher levels of information are needed in a model of the virtual environment. For example, the autonomous actors of a virtual world would exploit the knowledge of the environment topology to navigate through it. In this article, we present a model of virtual urban environments using structures and information suitable for behavioural animations. Thanks to this knowledge, autonomous virtual actors can behave like pedestrians or car drivers in a complex city environment. A city modeler has been designed, using this model of urban environment, and enables complex urban environments for behavioural animation to be automatically produced.
This work discusses an ongoing project for hands gesture recognition in computer vision systems. The proposed approach is based on the shape analysis tools introduced in [1]. More specifically, the wavelet transform w...
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Occlusion culling and level-of-detail rendering have become two powerful tools for accelerating the handling of very large models in real-time visualization applications. We present a framework that combines both tech...
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Occlusion culling and level-of-detail rendering have become two powerful tools for accelerating the handling of very large models in real-time visualization applications. We present a framework that combines both techniques to improve rendering times. Classical occlusion culling algorithms compute potentially visible sets (PVS), which are supersets of the sets of visible polygons. The novelty of our approach is to estimate the degree of visibility of each object Of the PVS using synthesized coarse occluders. This allows to arrange the objects of each PVS into several Hardly-Visible Sets (HVS) with similar occlusion degree. According to image accuracy and frame rare requirements, HVS provide a way to avoid sending to the graphics pipeline those objects whose pixel contribution is low due to partial occlusion. The image error can be bounded by the user at navigation time. On the other hand, as HVS offer a lighter estimation of the pixel contribution for each scene object, ii can be used for a more convenient selection of the level-of-detail at which objects are rendered. In this paper we describe the new framework technique, provide details of its implementation using a visibility octree as the chosen occlusion culling data structure and show some experimental results on the image quality.
One of the difficulties in pattern recognition is to develop a good evaluation of the classes presented on a scene. To suitably describe those classes it is necessary to find feature spaces which allow distinguishing ...
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Morphological residues represent an image in an hierarchical way by means of a decomposition of its structures and according to a size parameter A. From this decomposition, we can obtain a relation between the differe...
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This paper presents a simple and robust algorithm for estimating the local geometric properties of intersection curves, namely the tangent, normal, binormal, curvature and torsion vectors at any point. In addition, tw...
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This technical poster studies the advantages and disadvantages of Fractal image Compression (FIC) compared to Wavelet Transform Compression (WTC). Our results indicate that there is an advantage in FIC for high compre...
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In this paper we present a new approach which integrates the T-Snakes model and a multi-resolution method in a unified framework for segmentation and boundary extraction. In a first stage, a local scale property of th...
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