Frey, S.Benes, Bedrich and Hauser, Helwig2021-02-272021-02-2720211467-8659https://doi.org/10.1111/cgf.14092https://diglib.eg.org:443/handle/10.1111/cgf14092We present our approach for the dense visualization and temporal exploration of moving and deforming shapes from scientific experiments and simulations. Our image space representation is created by convolving a noise texture along shape contours (akin to LIC). Beyond indicating spatial structure via luminosity, we additionally use colour to depict time or classes of shapes via automatically customized maps. This representation summarizes temporal evolution, and provides the basis for interactive user navigation in the spatial and temporal domain in combination with traditional renderings. Our efficient implementation supports the quick and progressive generation of our representation in parallel as well as adaptive temporal splits to reduce overlap. We discuss and demonstrate the utility of our approach using 2D and 3D scalar fields from experiments and simulations.dense visualizationtime‐dependent scalar datatemporal explorationparallel computing10.1111/cgf.140927-21