🤖 AI Summary
Existing analyses of critical point evolution in time-varying scalar fields lack a piecewise-linear (PL)-compatible theoretical framework. Method: We generalize Morse–Cerf theory to PL function families by defining critical points and crossing events via the lower link structure of PL functions; introducing vertex graphs to encode instantaneous topology; constructing PL-Cerf diagrams to represent birth, death, and merging of critical points across the parameter space; and designing an automatic Cerf diagram construction algorithm with a graph-edit-distance-based similarity metric. Contribution/Results: This work establishes the first rigorous, PL-compatible Morse–Cerf theory, yielding a computationally tractable and robust topological descriptor for time-varying fields. Experiments on both synthetic and real-world time-varying scalar fields demonstrate that our method accurately captures salient topological transitions and significantly outperforms conventional smoothness-assumption-based tools.
📝 Abstract
Morse-Cerf theory considers a one-parameter family of smooth functions defined on a manifold and studies the evolution of their critical points with the parameter. This paper presents an adaptation of Morse-Cerf theory to a family of piecewise-linear (PL) functions. The vertex diagram and Cerf diagram are introduced as representations of the evolution of critical points of the PL function. The characterization of a crossing in the vertex diagram based on the homology of the lower links of vertices leads to the definition of a topological descriptor for time-varying scalar fields. An algorithm for computing the Cerf diagram and a measure for comparing two Cerf diagrams are also described together with experimental results on time-varying scalar fields.