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SHAPE FROM POSITIONAL-CONTRAST: Characterising Sketches with Qualitative Line Arrangements - Softcover

 
9783835060708: SHAPE FROM POSITIONAL-CONTRAST: Characterising Sketches with Qualitative Line Arrangements
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Graphical queries for the purpose of searching for pictorial information are of growing interest in areas where pictures provide valuable information, including, for instance, design, architecture, and engineering. Sketching graphical queries is a natural way of revealing the visual appearence of objects one has in mind. Bjarn Goffried develops computationally effective concepts for dealing with shape, in particular imprecise and incomplete sketched shapes. He exemplarily applies his method using graphical queries to search for historical objects. Specifying objects graphically, he shows that the new method is in fact capable of dealing with imprecise sketches.

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Björn Gottfried hat in Hamburg und Bremen Informatik studiert,
arbeitet seit 1999 am Technologie-Zentrum Informatik an der Bremer Universität, hat im Jahre 2005 promoviert und bietet Lehrveranstaltungen zur Bildverarbeitung, zum Bildverstehen und zum Diagrammatischen Schließen an.

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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Graphical queries for the purpose of searching for pictorial information are of growing interest in areas where pictures provide valuable information, including, for instance, design, architecture, and engineering. Sketching graphical queries is a natural way of revealing the visual appearance of objects one has in mind. Björn Gottfried develops computationally effective concepts for dealing with shape, in particular imprecise and incomplete sketched shapes. He exemplarily applies his method using graphical queries to search for historical objects. Specifying objects graphically, he shows that the new method is in fact capable of dealing with imprecise sketches. Generally speaking, the notion of positional-contrast is introduced. It defines how patterns can be robustly dealt with. That is, the new representation distinguishes patterns by how they relate with regard to spatial relations. This notion can be applied for several purposes, including pattern recognition, motion analysis, and texture analysis. 232 pp. Englisch. Seller Inventory # 9783835060708

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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Graphical queries for the purpose of searching for pictorial information are of growinginterestinareaswherepicturesprovidevaluableinformation, including, for instance, design, architecture, and engineering. Sketching graphical queries is a natural way of revealing the visual appearance of objects one has in mind. The problem which arises is identifying necessary shape properties of sketches, thatis,thosepropertieswhicharenotaccidentalbutarenecessaryforspecifying a particular object property. This problem arises in particular because sketches are imprecise, and often distorted by the artistic limitations of the sketcher. From the theoretical point of view the concept of pictorial space applies. In this context, new concepts are required, in particular for dealing with imp- cise shape information in the plane. Taking into account constraints imposed by pictorial space, a relation algebra of intersection-free relations is proposed, which allows reasoning about qualitative line arrangements in the plane. The theory is further developed for characterising polygons, by deriving a number of qualitative properties which aid in describing polygons qualitatively. Applying this theory, only line arrangements which are both readily sketched and easily perceivable are considered to be di erent. The notion of positional-contrast is introduced, which points out that the particular arrangements of line segments, i. e. their positions relative to each other, provide an expressive means of ch- acterising necessary shape properties. The method developed in this work is applied in using graphical queries to search for historical objects. Seller Inventory # 9783835060708

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