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Combining the Advantages of Local and Global Optic Flow Methods

, , and . Pattern Recognition, volume 2449 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2002)
DOI: 10.1007/3-540-45783-6_55

Abstract

Differential methods are frequently used techniques for optic flow computations. They can be classified into local methods such as the Lucas-Kanade technique or Bigün’s structure tensor method, and into global methods such as the Horn-Schunck approach and its modifications. Local methods are known to be more robust under noise, while global techniques yield 100% dense flow fields. No clear attempts to combine the advantages of these two classes of methods have been made in the literature so far.

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Combining the Advantages of Local and Global Optic Flow Methods - Springer

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