Parisian evolution with honeybees for three-dimensional reconstruction

This paper introduces a novel analogy with the way in which honeybee colonies operate in order to solve the problem of sparse and quasi dense reconstruction. To successfully solve increasingly complex problems, we must develop effective techniques for evolving cooperative solutions in the form of interacting coadapted subcomponents. A new adaptive behavior strategy is presented based on the divide and conquer approach used by the honeybee colony to solve search problems. The general ideas that explain the honeybee behavior are translated into a computational algorithm following the evolutionary computing paradigm. Experiments demonstrate the importance of the proposed communication system to reduce dramatically the number of outliers. Copyright 2006 ACM.

Evolution Strategies; Evolutionary Computer Vision; Honeybee Search Algorithm Adaptive systems; Behavioral research; Communication systems; Computational methods; Computer vision; Evolutionary algorithms; Problem solving; Evolution Strategies; Evolutionary Computer Vision; Honeybee Search Algorithms; Computation theory

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