Proc. 3D Anatomical Human Summer School 2010, 23-24 May, Chania, Greece: EU Marie Curie Research Training Network. 2010.In this paper we describe an edge-directed optimization-based method for volumetric data supersampling. Our method faces the problem of partial volume effect by upscaling the volumetric data, subdividing voxels in smaller parts and performing an optimization step keeping constant the energy of each original subdivided voxel while enhancing edge continuity. Experimental tests show the good quality of the results obtained with our approach. Furthermore, we show how offline 3D upscaling of volumes can be coupled with recent techniques to perform high quality volume rendering of large datsets, obtaining a better inspection of ...
Volume rendering is a well known technique for visualizing volumetric data, and is commonly used in ...
Capturing an enclosing volume of moving subjects and organs using fast individual image slice acquis...
This thesis presents a new mathematical model for segmenting volume images. The model is an energy f...
We describe an edge-directed optimization-based method for volumetric data supersampling. The method...
Volume clipping is a useful aid for exploring volumetric datasets. To maximize the effectiveness of ...
Volume rendering is a technique for simultaneous visualization of surfaces and inner structures of o...
Volume visualization software usually has to deal with datasets that are larger than the GPUs may ho...
Volume clipping is a useful aid for exploring volumetric datasets. To maximize the effectiveness of ...
This thesis presents a new volume rendering model, which uses a different representation of the voxe...
This thesis is concerned with improvements to algorithms for volume rendering; a technique that pro...
markus.holzer, rene.d Abstract In this paper, we propose a novel approach to compute 3D supervoxels ...
Volume visualization is a method of extracting information from volumetric data using interactive gr...
For volume rendering of regular grids the display of view-plane aligned slices has proven to yield b...
fast display method for volumetric data sets is presented, which involves a slice- - f based method ...
This paper presents a novel technique to efficiently compute illumination for Direct Volume Renderin...
Volume rendering is a well known technique for visualizing volumetric data, and is commonly used in ...
Capturing an enclosing volume of moving subjects and organs using fast individual image slice acquis...
This thesis presents a new mathematical model for segmenting volume images. The model is an energy f...
We describe an edge-directed optimization-based method for volumetric data supersampling. The method...
Volume clipping is a useful aid for exploring volumetric datasets. To maximize the effectiveness of ...
Volume rendering is a technique for simultaneous visualization of surfaces and inner structures of o...
Volume visualization software usually has to deal with datasets that are larger than the GPUs may ho...
Volume clipping is a useful aid for exploring volumetric datasets. To maximize the effectiveness of ...
This thesis presents a new volume rendering model, which uses a different representation of the voxe...
This thesis is concerned with improvements to algorithms for volume rendering; a technique that pro...
markus.holzer, rene.d Abstract In this paper, we propose a novel approach to compute 3D supervoxels ...
Volume visualization is a method of extracting information from volumetric data using interactive gr...
For volume rendering of regular grids the display of view-plane aligned slices has proven to yield b...
fast display method for volumetric data sets is presented, which involves a slice- - f based method ...
This paper presents a novel technique to efficiently compute illumination for Direct Volume Renderin...
Volume rendering is a well known technique for visualizing volumetric data, and is commonly used in ...
Capturing an enclosing volume of moving subjects and organs using fast individual image slice acquis...
This thesis presents a new mathematical model for segmenting volume images. The model is an energy f...