Abstract
How can the compound eye of insects capture the prey so accurately andquickly? This interesting issue is explored from the perspective of computer vision insteadof from the viewpoint of biology. The focus is on performance evaluation of noiseimmunity for motion recovery using the single-row superposition-type planar compound-like eye (SPCE). The SPCE owns a special symmetrical framework with tremendousamount of ommatidia inspired by compound eye of insects. The noise simulates possibleambiguity of image patterns caused by either environmental uncertainty or low resolutionof CCD devices. Results of extensive simulations indicate that this special visualconfiguration provides excellent motion estimation performance regardless of themagnitude of the noise. Even when the noise interference is serious, the SPCE is able todramatically reduce errors of motion recovery of the ego-translation without any type offilters. In other words, symmetrical, regular, and multiple vision sensing devices of thecompound-like eye have statistical averaging advantage to suppress possible noises. Thisdiscovery lays the basic foundation in terms of engineering approaches for the secret of thecompound eye of insects.
Highlights
Introduction and MotivationOver one hundred years ago, the configuration of the compound eye of insects started attracting researchers’ attentions
The development of image acquisition systems based on the framework of the compound eye has progressed quicker than ever
In order to verify the performance of noise immunity for the single row superposition-type planar compoundlike eye (SPCE), a given synthesized cloud of fifty 3D points shown in Fig. 3 is chosen as the test objects in the experiment
Summary
Over one hundred years ago, the configuration of the compound eye of insects started attracting researchers’ attentions. The development of image acquisition systems based on the framework of the compound eye has progressed quicker than ever. Those well-known commercial applications include the TOMBO compound eye proposed by Tanita et al [1], and the hand held plenoptic camera by Ng et al [2] The former is a multiple-imaging system with a post-digital processing unit that can provide a compact hardware configuration as well as processing flexibility. Because of the resulting "flicker effect", insects respond far better to moving objects than stationary ones. Tisse [10] used polydioptric spherical eyes to develop self-motion estimation They employed a more complicated mathematic manner with spherical model. The third camera provides more image information, and significantly improves both efficiency and accuracy for estimation of motion parameters
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