Depth-dependent halos: illustrative rendering of dense line data

التفاصيل البيبلوغرافية
العنوان: Depth-dependent halos: illustrative rendering of dense line data
المؤلفون: Henk Bekker, Tobias Isenberg, Maarten H. Everts, Jos B. T. M. Roerdink
المساهمون: Scientific Visualization and Computer Graphics, Intelligent Systems
المصدر: IEEE Transactions on Visualization and Computer Graphics, 15(6), 1299-1306. IEEE COMPUTER SOC
سنة النشر: 2009
مصطلحات موضوعية: NPR, black-and-white rendering, Computer science, FLOW, OpenGL, 02 engineering and technology, Rendering (computer graphics), Data visualization, Computer graphics (images), 0202 electrical engineering, electronic engineering, information engineering, GPU technique, Illustrative rendering and visualization, business.industry, 020207 software engineering, Frame rate, VOLUME DATA, Computer Graphics and Computer-Aided Design, Visualization, dense line data, DTI, Signal Processing, VISUALIZATION, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Halo, business, Depth perception, Software
الوصف: We present a technique for the illustrative rendering of 3D line data at interactive frame rates. We create depth-dependent halos around lines to emphasize tight line bundles while less structured lines are de-emphasized. Moreover, the depth-dependent halos combined with depth cueing via line width attenuation increase depth perception, extending techniques from sparse line rendering to the illustrative visualization of dense line data. We demonstrate how the technique can be used, in particular, for illustrating DTI fiber tracts but also show examples from gas and fluid flow simulations and mathematics as well as describe how the technique extends to point data. We report on an informal evaluation of the illustrative DTI fiber tract visualizations with domain experts in neurosurgery and tractography who commented positively about the results and suggested a number of directions for future work.
وصف الملف: application/pdf
تدمد: 1077-2626
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4355ffa36ae483b4a27dd42d63f6fdc
https://pubmed.ncbi.nlm.nih.gov/19834202
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....e4355ffa36ae483b4a27dd42d63f6fdc
قاعدة البيانات: OpenAIRE