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Three-dimensional object modeling and interactive virtual environment applications require accurate, but compact object models that ensure real-time rendering capabilities. In this context, the paper proposes a 3D modeling framework employing visual attention characteristics in order to obtain compact models that are more adapted to human visual capabilities. An enhanced computational visual attention...
The paper discusses automated solutions for 3D object modeling at multiple resolutions in the context of virtual reality. An original solution, based on an unsupervised neural network, is proposed to guide the creation of selectively densified meshes. A neural gas network, applied over a sparse density object mesh, adapts its nodes during training to capture the embedded shape of the object. Regions...
The main objective of this paper is to contribute to the advancement of 3D modeling techniques in order to make them more adapted to human visual capabilities. The proposed approach exploits human visual attention characteristics and incorporates them in a multiple level-of-detail (LOD) 3D object modeling scheme in order to ensure a better quality of simplified models at various resolutions. A visual...
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