In this paper, we will show how non-photorealistic rendering (NPR) can take a new role in content-based image retrieval (CBIR). We propose a content-based image retrieval method. ...
Making virtual modeling as easy and intuitive as realclay manipulation is still an unsolved problem. This paper takes a step in this direction: in addition to offering standard fe...
We present a method for the adaptive reconstruction of a surface directly from an unorganized point cloud. The algorithm is based on an incrementally expanding Neural Network and ...
Won-Ki Jeong, Ioannis P. Ivrissimtzis, Hans-Peter ...
We present a new approach to the modeling and deformation of a human or virtual character’s arms and legs. Each limb is represented as a set of ellipsoids of varying size interp...
Dae-Eun Hyun, Seung-Hyun Yoon, Myung-Soo Kim, Bert...
Interactive data visualization is inherently an iterative trial-and-error process searching for an ideal set of parameters for classifying and rendering features of interest in th...
Constrictions on a surface are defined as simple closed curves whose length is locally minimal. In particular, constrictions are periodic geodesics. We use constrictions in order...
I argue that computer graphics can benefit from a deeper use of machine learning techniques. I give an overview of what learning has to offer the graphics community, with an emph...
In the last years point-based rendering has been shown to offer the potential to outperform traditional triangle based rendering both in speed and visual quality when it comes to ...
The notable amount and variation of current techniques in non-photorealistic rendering (NPR) indicates a level of maturity whereby the categorization of algorithms has become poss...
Nick Halper, Tobias Isenberg, Felix Ritter, Bert F...
This paper presents a novel paradigm for point set surface editing, which takes advantages of the potential of implicit surfaces, the strength of physics based modeling techniques...