Advances in Visual Computing - 4th International Symposium, ISVC 2008, Las Vegas, NV, USA, December 1-3, 2008. Proceedings, Part I
Advances in Visual Computing - 4th International Symposium, ISVC 2008, Las Vegas, NV, USA, December 1-3, 2008. Proceedings, Part I
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视觉计算进展 - 第四届国际研讨会，ISVC 2008，美国内华达州拉斯维加斯，2008 年 12 月 1-3 日。论文集，第一部分
DOI：
10.1007/978-3-540-89639-5_31
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Song Y
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文献类型：
--
作者：
Song Y
This paper addresses the problem of grouping image primitives; its principal contribution is an explicit definition of the Gestalt principle ofPrägnanz, which organizes primitives into descriptions of images that are both simple and stable. Our definition of Prägnanz assumes just two things: that a vector of free variables controls some general grouping algorithm, and a scalar function measures the information in a grouping. Stable descriptions exist where the gradient of the function is zero, and these can be ordered by information content (simplicity) to create a “grouping” or “Gestalt” scale description. We provide a simple measure for information in a grouping based on its structure alone, leaving our grouper free to exploit other Gestalt principles as we see fit. We demonstrate the value of our definition of Prägnanz on several real-world images.
