During the last few years a quite large number of fluorescence molecular imaging
applications have been reported in the literature, as one of the most challenging aspects in …

In this paper, we apply supershapes and R-functions to surface recovery from 3D data sets.
Individual supershapes are separately recovered from a segmented mesh. R-functions are …

Simple representation of complex 3D data sets is a fundamental problem in computer vision.
From a quality control perspective, it is crucial to use efficient and simple techniques do …

R-function is a widely used tool when considering objects obtained through the Boolean
operations start from simple base primitives. However, there is square root operation in the …

The paper A generic geometric transformation that unifies a wide range of natural and
abstract shapes [1] introduced the Superformula, a generalization of circles and the …

In this paper, we propose an approach for the 3D object reconstruction from a points cloud
using supershapes. Three-dimensional reconstruction is considered as an important …

The reconstruction of 3D objects based on point clouds is a difficult and poorly posed
problem. This problem is fundamental for many applications such as recognition and …

During the last few years a quite large number of fluorescence imaging applications have
been reported in the literature, as one of the most challenging problems in medical imaging …

The visualization of complex knowledge spaces requires balancing of visual models,
metaphors and formalisms. For abstract domains of knowledge most aspects of entities have …

Ce papier présente une application des supershapes à la reconstruction de surfaces. Nous
adaptons tout d'abord les méthodes de reconstruction de surfaces par superquadriques aux …