Orca: A Language for Parallel Programming of Distributed Systems
IEEE Transactions on Software Engineering
Scientific computing: an introduction with parallel computing
Scientific computing: an introduction with parallel computing
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Conventionally, you measure the cornea's shape by mirroring a fixed stimulus to the eye. From the distortion in the reflection object, you can model shape using lookup tables. Unfortunately, the maladjustment to pathological corneas often results in failing recognition of the stimulus pattern. Moreover, shape reconstruction is known to be inaccurate. In this article, the authors explore real-time solutions for both problems. They use an LCD array to implement dynamic stimulus adaptation. This approach enables fast feature recovery by limitations imposed on the search space for vertices. They achieve accurate shape modelling through parallellization of a nonlinear reconstruction algorithm. The authors integrate both solutions in a single measurement instrument.