A Gradient‐Based Comparison Measure for Visual analysis of Multifield Data
Suthambhara Nagaraj, Vijay Natarajan, Ravi Shankar Nanjundiah · Computer Graphics Forum · 2011
Abstract We introduce a multifield comparison measure for scalar fields that helps in studying relations between them. The comparison measure is insensitive to noise in the scalar fields and to noise in their gradients. Further, it can be computed robustly and efficiently. Results from the visual analysis of various data sets from climate science and combustion applications demonstrate the effective use of the measure.