UScholar Works
 
Filters: Department: "Computing, School of" Collection: "ir_uspace"
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CreatorTitleDescriptionSubjectDate
1 Shirley, Peter S.Natural image statistics for computer graphicsThe class of all natural images is an infinitely small fraction of all possible images. The structure of natural images can be statistically modeled, revealing striking regularities. The human visual system appears to be optimized to view natural images, as opposed to any possible image, and therefo...Natural image2001
2 Creem-Regehr, Sarah Hope; Gooch, Amy A.; Sahm, Cynthia S.; Thompson, William B.Perceiving virtual geographic slant: action influences perceptionFour experiments varied the extent and nature of observer movement in a virtual environment to examine the influence of action on estimates of geographical slant. Previous slant studies demonstrated that people consciously overestimate hill slant but can still accurately guide an action toward th...Geographical slant; Virtual environment2003-06-16
3 Baxter, Brent S.Image processing in the human visual systemThis work extends the multiplicative visual model to include image texture as suggested by experiments [Campbell, Weisel] linking a low resolution Fourier analysis with neurons in certain parts of the visual cortex. The new model takes image texture into account in the sense that weak texture is acc...Human visual system; Image texture1975
4 Faugeras, Olivier DominiqueDigital color image processing and psychophysics within the framework of a human visual modelA three-dimensional homomorphic model of human color vision based on neurophysiological and psychophysical evidence is presented. This model permits the quantitative definition of perceptually important parameters such as brightness. saturation, huo and strength. By modelling neural interaction in t...Human visual model; Neurophysiological evidence; Psychophysical evidence1977
5 Lefohn, Aaron; Cates, Joshua E.; Whitaker, Ross T.Interactive, GPU-based level sets for 3D brain tumor segmentationWhile level sets have demonstrated a great potential for 3D medical image seg- mentation, their usefulness has been limited by two problems. First, 3D level sets are relatively slow to compute. Second, their formulation usually entails several free parameters which can be very difficult to correc...Level sets; Medical imaging; 3D brain tumor segmentation2003-04-16
6 Allen, Edgar S.Sensory information processing and symbolic computation (1 Jan. 1975 - 30 June 1975)This research uses digital computation to investigate processes, both linear and nonlinear, for the filtering. restoration, enhancement, bandwidth reduction, distortion immunization and analysis of both visual and auditory information.Sensory information processing; Symbolic computation; Auditory information; Visual information1973
7 Lefohn, Aaron; Kniss, Joe; Hansen, Charles D.; Whitaker, Ross T.Interactive deformation and visualization of level set surfaces using graphics hardwareDeformable isosurfaces, implemented with level-set methods, have demonstrated a great potential in visualization for applications such as segmentation, surface process- ing, and surface reconstruction. Their usefulness has been limited, however, by two problems. First, 3D level sets are relativel...Interactive deformation; Deformable isosurfaces; Level-set methods2003-04-16
8 Hansen, Charles D.; Whitaker, Ross T.Interactive deformation and visualization of level set surfaces using graphics hardwareDeformable isosurfaces, implemented with level-set methods, have demonstrated a great potential in visualization for applications such as segmentation, surface processing, and surface reconstruction. Their usefulness has been limited, however, by their high computational cost and and reliance on sig...Deformation; Level sets; Deformable models; Image segmentation; Volume visualization; GPU; Streaming computation; Isosurfaces2003
9 Cates, Joshua E.; Lefohn, Aaron; Whitaker, Ross T.GIST: an interactive, GPU-based level set segmentation tool for 3D medical imagesWhile level sets have demonstrated a great potential for 3D medical image segmentation, their usefulness has been limited by two problems. First, 3D level sets are relatively slow to compute. Second, their formulation usually entails several free parameters which can be very difficult to correctl...GIST; 3D medical images; Segmentation tool; Image segmentation2004-02-27
10 Kindlmann, GordonVisualization and analysis of diffusion tensor fieldsThe power of medical imaging modalities to measure and characterize biological tissue is amplified by visualization and analysis methods that help researchers to see and understand the structures within their data. Diffusion tensor magnetic resonance imaging can measure microstructural properties...diffusion tensor fields; Visualization; medical imaging2004-09-28
11 Hansen, Charles D.Gaussian transfer functions for multi-field volume visualizationVolume rendering is a flexible technique for visualizing dense 3D volumetric datasets. A central element of volume rendering is the conversion between data values and observable quantities such as color and opacity. This process is usually realized through the use of transfer functions that are prec...Volume rendering; Transfer functions; Volume visualization2003
12 Hansen, Charles D.; Whitaker, Ross T.Streaming narrow-band algorithm: interactive computation and visualization of level setsAbstract-Deformable isosurfaces, implemented with level-set methods, have demonstrated a great potential in visualization and computer graphics for applications such as segmentation, surface processing, and physically-based modeling. Their usefulness has been limited, however, by their high computa...2004-07
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