Kaloian Petkov

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In Virtual Reality, immersive systems such as the CAVE provide an important tool for the collaborative exploration of large 3D data. Unlike head-mounted displays, these systems are often only partially immersive due to space, access, or cost constraints. The resulting loss of visual information becomes a major obstacle for critical tasks that need to(More)
The Lattice Boltzmann method (LBM) for visual simulation of fluid flow generally employs cubic Cartesian (CC) lattices such as the D3Q13 and D3Q19 lattices for the particle transport. However, the CC lattices lead to suboptimal representation of the simulation space. We introduce the face-centered cubic (FCC) lattice, fD3Q13, for LBM simulations. Compared(More)
We present a novel custom-built 3D immersive environment, called the Immersive Cabin (IC). The IC is fully enclosed with an automatic door on the rear screen, and thus very different from existing CAVE environments. Our IC, the construction of the projection screens and stereo projectors as well as the calibration procedure are explained in details. The(More)
Current immersive VR systems such as the CAVE provide an effective platform for the immersive exploration of large 3D data. A major limitation is that in most cases at least one display surface is missing due to space, access or cost constraints. This partially-immersive visualization results in a substantial loss of visual information that may be(More)
We introduce the concept of the infinite canvas as a metaphor for the immersive visual exploration of very large image datasets using a natural walking interface. The interface allows the user to move along the display surface and to be continuously exposed to new data, essentially exploring the horizontal axis of an arbitrarily long canvas. Our system(More)
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