Abstract
Recurring application of Gestalt operations to a set of primitives extracted from an image in an attempt to search for hierarchically organized patterns can cause considerable computational loads. It turns out important to bound the amount of computation and storage requirements so that the practical application of such Gestalt recognition becomes robust and feasible. This chapter gives several possibilities: Stratified enumeration implements a breadth-first search. Pruning is achieved by the use of an assessment threshold.
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Michaelsen, E., Meidow, J. (2019). Search. In: Hierarchical Perceptual Grouping for Object Recognition. Advances in Computer Vision and Pattern Recognition. Springer, Cham. https://doi.org/10.1007/978-3-030-04040-6_6
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DOI: https://doi.org/10.1007/978-3-030-04040-6_6
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