REFERENCE FRAMES FOR VISUO MOTOR CONTROL

空间记忆理论强调以自我为中心的参考 框架作为中央存储库。相比之下，我们的工作是使用过滤器 在大脑皮层细胞中发现的反应表明， 存储空间目标的方式。目标按其要素存储 并且这些特征在图像中的位置可以快速地 恢复，无论凝视的变化，只要他们保持 看得见。到目前为止，这一概念只在静态图像上进行了测试 都是离线处理的。我们的计划是彻底测试这一点 方案，并在我们的机器人模拟器上实现。这将测试 工作在时变图像上的机制的可行性 易受模糊和尺度变化的影响。我们最初强调的是 凝视控制研究将整合几种不同的注视 方法：研究方法。我们的第一个努力将是将住宿和 聚焦相机的移动。目前，仅汇聚赛道一家 几乎需要我们所有可用的视频处理资源。这个 拟议的扩展将允许同时处理几个 不同的视觉功能。

Theories of spatial memory have stressed egocentric references frames as a central repository. In contrast our work using filter responses such as those found in cortical cells suggests an different way of storing spatial targets. Targets are stored by their features and the location of these features in the image can be quickly recovered regardless of changes in gaze as long as they remain visible. This concept has so far only been tested on static images that are processed off-line. Our plan is to definitively test of this scheme by implementing it on our robot simulator. This would test the feasibility of the mechanism working on time-varying imagery that is subject to blur and variations in scale. The initial emphasis of our gaze control research will be to integrate several different fixation methods. Our first effort will be to integrate accommodation and vergence camera movements. Currently the vergence circuit alone requires almost all of our available video processing resources. The proposed expansion would allow concurrent processing of several different visual functions.