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Ideally, the choice of algorithm should attempt to adjust to particular task demands and environmental constraints to obtain optimal scene information (e.g., Yong, Weiqi, & Rui, 2010); however, when systems are designed for general use, the task many not be known in advance.
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Figure 12 Preliminary experiment: (a) Original scene; (b) optimal minimum norm matrix inverse; (c) 3D-LS solution; (d) matched-filter solution.
Initially, the system will be put to work on traffic, with the potential to help on town planning, incident response, and other emergency services such as calculating the optimal route to a scene.
The role of distributed artificial intelligence composed of separate and autonomous modules is justified by the need for scalable designs capable of co-operating to infer an optimal interpretation of the scene.
Depending upon the sensitivities of the two cameras, one or two appropriate optical filters are selected from among a set of readily available filters, so that they will modify the sensitivities of one or two cameras to produce six channels (three each contributed from the two cameras) in the visible spectrum so as to give optimal estimation of the scene spectral reflectance and/or the color.
In this approach, critical weighted values are automatically calculated over time based on observed scenes for optimal flexibility and parameterization.
From the cross-validation within each of the five groups of scenes, the optimal values for the ground thresholds were proved to correspond to the distance between the floor and the first step of the stairs for the lower sub-image classifier.
Ideally, in order to find the best solution, the VSN nodes' optimal bitrate for each possible scene has to be calculated.
An economy that had achieved "optimal scale".
More realistic assumptions like (weak) heterogamy, presence of external shocks or sub-optimal behaviour, probably enter the scene as contributing factors enforcing instability.
The slow component of the ongoing oscillations is likely to be related to a centrally generated rhythmic exploration process defining the sequence of saccades and microsaccades thereby providing an optimal discrete sampling of visual scenes (see Discussion and related references in Bosman et al. 2009).
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