Continuous Levels-of-Detail and Visual Abstraction for Seamless Molecular Visualization
2014 (English)In: Computer graphics forum (Print), ISSN 0167-7055, E-ISSN 1467-8659, Vol. 33, no 6, 276-287 p.Article in journal (Refereed) Published
Molecular visualization is often challenged with rendering of large molecular structures in real time. We introduce a novel approach that enables us to show even large protein complexes. Our method is based on the level-of-detail concept, where we exploit three different abstractions combined in one visualization. Firstly, molecular surface abstraction exploits three different surfaces, solvent-excluded surface (SES), Gaussian kernels and van der Waals spheres, combined as one surface by linear interpolation. Secondly, we introduce three shading abstraction levels and a method for creating seamless transitions between these representations. The SES representation with full shading and added contours stands in focus while on the other side a sphere representation of a cluster of atoms with constant shading and without contours provide the context. Thirdly, we propose a hierarchical abstraction based on a set of clusters formed on molecular atoms. All three abstraction models are driven by one importance function classifying the scene into the near-, mid- and far-field. Moreover, we introduce a methodology to render the entire molecule directly using the A-buffer technique, which further improves the performance. The rendering performance is evaluated on series of molecules of varying atom counts.
Place, publisher, year, edition, pages
Wiley , 2014. Vol. 33, no 6, 276-287 p.
level of detail algorithms; implicit surfaces; clustering; scientific visualization
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:liu:diva-112061DOI: 10.1111/cgf.12349ISI: 000342802200020OAI: oai:DiVA.org:liu-112061DiVA: diva2:763866
Funding Agencies|PhysioIllustration research project - Norwegian Research Council ; Vienna Science and Technology Fund (WWTF) [VRG11-010]; EC Marie Curie Career Integration Grant [PCIG13-GA-2013-618680]; Excellence Center at Linkoping and Lund in Information Technology (ELLIIT); Swedish Research Council through the Linnaeus Center for Control, Autonomy, and Decisionmaking in Complex Systems (CADICS); Swedish e-Science Research Centre (SeRC); VR [2011-4113]2014-11-172014-11-132015-09-23