Volume Graphics 2001: Proceedings of the Joint IEEE TCVG and Eurographics Workshop in Stony Brook, New York, USA, June 2122, 2001 [Paperback]

This book contains the proceedings of the International Workshop on Volume Graphics 200 1 (VG'O I) which took place on June 21 and June 22 at Stony Brook, New York. This year's event was the second in the series, following a successful premiere in Swansea, Wales, in March 1999, and was co-sponsored by the IEEE Technical Committee on Visualization and Graphics (TC-VG) as well as EUROGRAPHICS. The Volume Graphics Workshop is held bi-annually and has been created to pro? vide a forum for the exploration and advancement of volume-based techniques, beyond the scope of just volume visualization. It brings together researchers and practitioners both from academia and industry, from many parts of the world. Volume graphics is in the process of evolving into a general graphics technology, and the papers included in these proceedings are testimonial to the wide spectrum of unique applications and solu? tions that volumetric representations are able to offer.Volume Rendering.- Refraction in Discrete Raytracing.- Data Level Comparison of Surface Classification and Gradient Filters.- Splatting with Shadows.- A Study of Transfer Function Generation for Time-Varying Volume Data.- Volume-Based Modeling.- Volume Graphics Modeling of Ice Thawing.- A Survey of Methods for Volumetric Scene Reconstruction from Photographs.- A Volume Modeling Component of CAD.- A Technique for Volumetric CSG Based on Morphology.- Hardware, Architectures, and APIs for Volume Rendering.- vlib: A Volume Graphics API.- Efficient Space Leaping for Raycasting Architectures.- An Architecture for Interactive Tetrahedral Volume Rendering.- Parallelizing the ZSWEEP Algorithm for Distributed-Shared Memory Architectures.- Data Acquisition.- Hybrid Distance Field Computation.- Visualization of Labeled Segments Cross-Contour Surfaces.- Topology-Guided Downsampling.- Extracting Boundary Surface of Arbitrary Topology from Volumetric Datasets.- Segmentation of Biological Volume Datasets Using a Level-Set Framework.- Corl³x