Anderson, John C.Gosink, Luke J.Duchaineau, Mark A.Joy, Kenneth I.K. Museth and T. Moeller and A. Ynnerman2014-01-312014-01-312007978-3-905673-45-61727-5296https://doi.org/10.2312/VisSym/EuroVis07/195-201We present interactive techniques for identifying and extracting features in function fields. Function fields map points in n-dimensional Euclidean space to 1-dimensional scalar functions. Visual feature identification is ac- complished by interactively rendering scalar distance fields, constructed by applying a function-space distance metric over the function field. Combining visual exploration with feature extraction queries, formulated as a set of function-space constraints, facilitates quantitative analysis and annotation. Numerous application domains give rise to function fields. We present results for two-dimensional hyperspectral images, and a simulated time-varying, three-dimensional air quality dataset.Categories and Subject Descriptors (according to ACM CCS): I.3.6 [Computer Graphics]: Methodology and Techniques