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Stable image descriptions using gestalt principles

Song, Yi-Zhe and Hall, P.M. (2008) Stable image descriptions using gestalt principles In: 4th International Symposium on Visual Computing (ISVC 2008), 01-03 Dec 2008, Las Vegas, NV, USA.

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This paper addresses the problem of grouping image primitives; its principal contribution is an explicit definition of the Gestalt principle of Pragnanz, which organizes primitives into descriptions of images that are both simple and stable. Our definition of Pragnanz 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 Pragnanz on several real-world images.

Item Type: Conference or Workshop Item (Conference Abstract)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Hall, P.M.
Date : 2008
DOI : 10.1007/978-3-540-89639-5_31
Uncontrolled Keywords : Line Segment; Adjacency Matrix; Pattern Analysis; Coarse Scale; Input Graph
Depositing User : Clive Harris
Date Deposited : 12 Aug 2019 14:51
Last Modified : 12 Aug 2019 14:51

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