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ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing最新文献

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Recent advances in motion interpretation based on image sequences 基于图像序列的运动解释的最新进展
Pub Date : 1982-05-03 DOI: 10.1109/ICASSP.1982.1171499
H. Nagel
ION IN MOTION INTERPRETATION Natural language provides the means to describe a complex development at various levels of abstraction. A hierarchy of abstractions from image sequence data towards natural language notions is employed to organize the references. In the following we assume that only gradual changes occur between consecutive frames of a sequence. Otherwise, just the kind of scene—specific knowledge which we desire to extract from the observations would already be required to bridge the gaps in the input data. Low—Level Symbolic Descriptions A first level of abstraction is the localization of greyvalue variations characteristic enough to be found again in a subsequent frame. Examples are zero-crossings — i.e. locations of large greyvalue gradients (6) —, .heu±'istic "points of interest" (7, 8), corner points (9,10,11), edge segsients (12), or primitive regions including those used for cross-
动态解释自然语言提供了在不同抽象层次上描述复杂发展的手段。从图像序列数据到自然语言概念的抽象层次被用来组织引用。在下文中,我们假设在一个序列的连续帧之间只发生渐变。否则,我们希望从观察中提取的特定场景知识就已经需要弥合输入数据中的差距。低级符号描述第一级抽象是定位灰度值变化的特征,足以在后续框架中再次发现。例如零交叉-即大灰度值梯度的位置(6)-,.heu±'istic“兴趣点”(7,8),角点(9,10,11),边缘分割(12),或原始区域,包括用于交叉的区域
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引用次数: 12
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ICASSP '82. IEEE International Conference on Acoustics, Speech, and Signal Processing
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