We present a novel 3-D scalable compression method for medical images with optimized volume of interest (VOI) coding. The method is presented within the framework of interactive te...
Victor Sanchez, Rafeef Abugharbieh, Panos Nasiopou...
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
Gaze visualizations hold the potential to facilitate usability studies of interactive systems. However, visual gaze analysis in threedimensional virtual environments still lacks m...
This paper presents research that led to the design and implementation of an extensible and scalable software framework for the dynamic 3D visualization of simulated construction ...
This paper investigates compression of 3D objects in computer graphics using manifold learning. Spectral compression uses the eigenvectors of the graph Laplacian of an object'...