Combining Perception and Impressionist Techniques for Nonphotorealistic Visualization of Multidimensional Data

containing strings and numbers into a sequence of one or more images. Values in D represent m attributesA = fA1; : : : ; Amg recorded atn sample pointsei, that is,D = fe1; : : : ; eng andei = fai;1; : : : ; ai;mg; ai;j 2 Aj . A data-feature mapping M(V; ) defines a visual feature Vj 2 V to use to display values fromAj ; it also defines j : Aj ! Vj ; j 2 to map the domain ofAj to the range of displayable values in Vj . Visualization in this framework is the construction of a data-feature mappingM together with a viewer’s interpretation of the images produced by M .

[1]  S. Thompson,et al.  Modern Chromatics, with Applications to Art and Industry , 1879, Nature.

[2]  Gunther Wyszecki,et al.  Color Science: Concepts and Methods, Quantitative Data and Formulae, 2nd Edition , 2000 .

[3]  B. Julesz Foundations of Cyclopean Perception , 1971 .

[4]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[5]  Hideyuki Tamura,et al.  Textural Features Corresponding to Visual Perception , 1978, IEEE Transactions on Systems, Man, and Cybernetics.

[6]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[7]  B. Julesz,et al.  Human factors and behavioral science: Textons, the fundamental elements in preattentive vision and perception of textures , 1983, The Bell System Technical Journal.

[8]  A. Rosenfeld,et al.  A Theory of Textural Segmentation , 1983 .

[9]  Dino Schweitzer,et al.  Artificial texturing: An aid to surface visualization , 1983, SIGGRAPH.

[10]  B. Julesz A brief outline of the texton theory of human vision , 1984, Trends in Neurosciences.

[11]  T. Callaghan Dimensional interaction of hue and brightness in preattentive field segregation , 1984, Perception & psychophysics.

[12]  Anne Treisman,et al.  Preattentive processing in vision , 1985, Computer Vision Graphics and Image Processing.

[13]  A. M. Triesman,et al.  Preattentive processing in vision , 1985 .

[14]  Ken Nakayama,et al.  Serial and parallel processing of visual feature conjunctions , 1986, Nature.

[15]  Steve Strassmann,et al.  Hairy brushes , 1986, SIGGRAPH.

[16]  A. Treisman,et al.  Illusory words: the roles of attention and of top-down constraints in conjoining letters to form words. , 1986, Journal of experimental psychology. Human perception and performance.

[17]  Thomas A. DeFanti,et al.  Visualization in Scientific Computing-A Synopsis , 1987, IEEE Computer Graphics and Applications.

[18]  G W Humphreys,et al.  Visual search for targets defined by combinations of color, shape, and size: An examination of the task constraints on feature and conjunction searches , 1987, Perception & psychophysics.

[19]  R. Osborne The Principles of Harmony and Contrast of Colors and Their Applications to the Arts by M.E. Chevreul (review) , 2017 .

[20]  Colin Ware,et al.  Color sequences for univariate maps: theory, experiments and principles , 1988, IEEE Computer Graphics and Applications.

[21]  C Ware,et al.  Using Color Dimensions to Display Data Dimensions , 1988, Human factors.

[22]  Philip K. Robertson Visualizing color gamuts: a user interface for the effective use of perceptual color spaces in data displays , 1988, IEEE Computer Graphics and Applications.

[23]  A Treisman,et al.  Feature analysis in early vision: evidence from search asymmetries. , 1988, Psychological review.

[24]  Georges G. Grinstein,et al.  Exvis: an exploratory visualization environment , 1989 .

[25]  T. Callaghan Interference and dominance in texture segregation: Hue, geometric form, and line orientation , 1989, Perception & psychophysics.

[26]  Penny Rheingans,et al.  A tool for dynamic explorations of color mappings , 1990, I3D '90.

[27]  Paul Haeberli,et al.  Paint by numbers: abstract image representations , 1990, SIGGRAPH.

[28]  P Perona,et al.  Preattentive texture discrimination with early vision mechanisms. , 1990, Journal of the Optical Society of America. A, Optics and image science.

[29]  A. Nagy,et al.  Critical color differences determined with a visual search task. , 1990, Journal of the Optical Society of America. A, Optics and image science.

[30]  Ronald A. Rensink,et al.  Sensitivity To Three-Dimensional Orientation in Visual Search , 1990 .

[31]  M H Birnbaum,et al.  Judgments of proportions. , 1990, Journal of experimental psychology. Human perception and performance.

[32]  A L Nagy,et al.  Visual search for color differences with foveal and peripheral vision. , 1990, Journal of the Optical Society of America. A, Optics and image science.

[33]  A. Treisman Search, similarity, and integration of features between and within dimensions. , 1991, Journal of experimental psychology. Human perception and performance.

[34]  Michael D'Zmura,et al.  Color in visual search , 1991, Vision Research.

[35]  P. McLeod,et al.  Motion coherence and conjunction search: Implications for guided search theory , 1992, Perception & psychophysics.

[36]  J. Wolfe,et al.  The role of categorization in visual search for orientation. , 1992, Journal of experimental psychology. Human perception and performance.

[37]  James T. Enns,et al.  Harnessing Preattentive Processes for Multivariate Data Visualization , 1992 .

[38]  A. Ravishankar Rao,et al.  Identifying high-level features of texture perception , 1992, Electronic Imaging.

[39]  Haim Levkowitz,et al.  Color scales for image data , 1992, IEEE Computer Graphics and Applications.

[40]  William Knight,et al.  Orderable dimensions of visual texture for data display: orientation, size and contrast , 1992, CHI.

[41]  Gerald L. Lohse,et al.  Towards a texture naming system: Identifying relevant dimensions of texture , 1993, Vision Research.

[42]  Bernice E. Rogowitz,et al.  An architecture for rule-based visualization , 1993, Proceedings Visualization '93.

[43]  A. Ravishankar Rao,et al.  Identifying High Level Features of Texture Perception , 1993, CVGIP Graph. Model. Image Process..

[44]  Fang Liu,et al.  Periodicity, directionality, and randomness: Wold features for perceptual pattern recognition , 1994, Proceedings of the 12th IAPR International Conference on Pattern Recognition, Vol. 3 - Conference C: Signal Processing (Cat. No.94CH3440-5).

[45]  Lawrence J. Rosenblum,et al.  Research issues in scientific visualization , 1994, IEEE Computer Graphics and Applications.

[46]  Z. Pylyshyn,et al.  Why are small and large numbers enumerated differently? A limited-capacity preattentive stage in vision. , 1994, Psychological review.

[47]  James T. Enns,et al.  Real-Time Multivariate Data Visualization Using Preattentive Processing , 1994 .

[48]  P. Leblond,et al.  Computer Simulations of the Influence of Ocean Currents on Fraser River Sockeye Salmon (Oncorhynchus nerka) Return Times , 1994 .

[49]  Siu Chi Hsu,et al.  Drawing and animation using skeletal strokes , 1994, SIGGRAPH.

[50]  J. Wolfe,et al.  Guided Search 2.0 A revised model of visual search , 1994, Psychonomic bulletin & review.

[51]  Z. Pylyshyn,et al.  Why are small and large numbers enumerated differently? A limited-capacity preattentive stage in vision. , 1994, Psychological review.

[52]  Bernice E. Rogowitz,et al.  A rule-based tool for assisting colormap selection , 1995, Proceedings Visualization '95.

[53]  William Knight,et al.  Using visual texture for information display , 1995, TOGS.

[54]  David Banks,et al.  Image-guided streamline placement , 1996, SIGGRAPH.

[55]  Barbara J. Meier Painterly rendering for animation , 1996, SIGGRAPH.

[56]  Deborah J. Aks,et al.  Visual search for size is influenced by a background texture gradient. , 1996, Journal of experimental psychology. Human perception and performance.

[57]  James T. Enns,et al.  High-speed visual estimation using preattentive processing , 1996, TCHI.

[58]  G. Winkenbach,et al.  Rendering free-form surfaces in pen and ink , 1996 .

[59]  W. Cowan,et al.  Visual search for colour targets that are or are not linearly separable from distractors , 1996, Vision Research.

[60]  Christopher G. Healey,et al.  Choosing effective colours for data visualization , 1996, Proceedings of Seventh Annual IEEE Visualization '96.

[61]  Victoria Interrante,et al.  Illustrating surface shape in volume data via principal direction-driven 3D line integral convolution , 1997, SIGGRAPH.

[62]  Peter Litwinowicz,et al.  Processing images and video for an impressionist effect , 1997, SIGGRAPH.

[63]  David Salesin,et al.  Computer-generated watercolor , 1997, SIGGRAPH.

[64]  Ronald A. Rensink,et al.  TO SEE OR NOT TO SEE: The Need for Attention to Perceive Changes in Scenes , 1997 .

[65]  David Salesin,et al.  Orientable textures for image-based pen-and-ink illustration , 1997, SIGGRAPH.

[66]  S. Yantis,et al.  Visual attention: control, representation, and time course. , 1997, Annual review of psychology.

[67]  Meyer Schapiro,et al.  Impressionism: Reflections and Perceptions , 1997 .

[68]  David H. Laidlaw,et al.  Visualizing diffusion tensor images of the mouse spinal cord , 1998, Proceedings Visualization '98 (Cat. No.98CB36276).

[69]  I. Rock,et al.  Inattentional blindness: Perception without attention. , 1998 .

[70]  Christopher G. Healey,et al.  On the Use of Perceptual Cues & Data Mining for Effective Visualization of Scientific Datasets , 1998, Graphics Interface.

[71]  James T. Enns,et al.  Building perceptual textures to visualize multidimensional datasets , 1998 .

[72]  Paul H. Smith,et al.  Data and Visualization Corridors: Report on the 1998 DVC Workshop Series , 1998 .

[73]  David H. Laidlaw,et al.  Visualizing diffusion tensor images of the mouse spinal cord , 1998 .

[74]  R. Snowden,et al.  Texture segregation and visual search: a comparison of the effects of random variations along irrelevant dimensions. , 1998, Journal of experimental psychology. Human perception and performance.

[75]  Aaron Hertzmann,et al.  Painterly rendering with curved brush strokes of multiple sizes , 1998, SIGGRAPH.

[76]  James T. Enns,et al.  Large Datasets at a Glance: Combining Textures and Colors in Scientific Visualization , 1999, IEEE Trans. Vis. Comput. Graph..

[77]  Michio Shiraishi,et al.  Image moment-based stroke placement , 1999, SIGGRAPH '99.

[78]  Victoria Interrante,et al.  Harnessing natural textures for multivariate visualization , 2000, IEEE Computer Graphics and Applications.

[79]  P. Romano Association for Research in Vision and Ophthalmology. , 2000, Binocular vision & strabismus quarterly.

[80]  David S. Ebert,et al.  Volume illustration: non-photorealistic rendering of volume models , 2000 .

[81]  David H. Laidlaw,et al.  Loose, Artistic "Textures" for Visualization , 2001, IEEE Computer Graphics and Applications.