ACTIVE PERCEPTION
ACTIVE PERCEPTION
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DOI：
10.1109/5.5968
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发表时间：
1988-08-01
影响因子：
20.6
通讯作者：
BAJCSY, R
中科院分区：
文献类型：
--
作者：
BAJCSY, R
主动感知（特别是主动视觉）被定义为对感知的建模和控制策略的研究。局部方法与全局模型的区别在于它们在空间和时间上的应用范围。局部模型表示过程和参数，例如透镜、聚焦透镜、空间分辨率、带通滤波器等的光学畸变。另一方面，全局模型表征整体性能并对各个模块如何相互作用进行预测。控制策略被制定为这样的步骤序列的搜索，将最小化损失函数，同时仍然寻求最多的信息。实例表明，所提出的理论的存在性证明获得范围从焦点和立体/聚散度的2-D分割的图像和3-D形状参数化。<>
Active perception (active vision specifically) is defined as a study of modeling and control strategies for perception. Local methods are distinguished from global models by their extent of application in space and time. The local models represent procedures and parameters such as optical distortions of the lens, focal lens, spatial resolution, bandpass filter, etc, The global models, on the other hand, characterize the overall performance and make predictions on how the individual modules interact. The control strategies are formulated as a search of such sequences of steps that would minimize a loss function while still seeking the most information. Examples are shown as the existence proof of the proposed theory on obtaining range from focus and stereo/vergence on 2-D segmentation of an image and 3-D shape parameterization.<>