Titlebook: An Introduction to Object Recognition; Selected Algorithms Marco Alexander Treiber Book 2010 Springer-Verlag London Limited 2010 3D.Appear

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Die Vielfalt und Einheit der Moderneto be recognized as a whole, e.g., by one data set containing several global characteristics of the object like area, perimeter, and so on. Some typical algorithms sharing this object representation are presented in this chapter. A straightforward approach is to use an example image of the model to

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Die Vielfalt und Einheit der Moderneecognition can be performed as follows: First, a point set is extracted from a scene image. Subsequently, the parameters of a transformation which defines a mapping of the model point set to the point set derived from the scene image are estimated. To this end, the so-called transformation space, wh

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Friedrich Riffer,Barbara St?cklognition, e.g., from CAD data of the object shape. Typically, these methods are feature based, meaning that the object is characterized by a limited set of primitives called features. For example, the silhouette of many industrial objects can be modeled by a set of line segments and circular arcs as

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Camouflage

Die Vielgestaltigkeit der Psychosomatikto difficulties for deformable objects, specific approaches exist for such types of objects. These methods use parametric curves, which should approximate the object contour as good as possible. The parameters of the curve should offer enough degrees of freedom for accurate approximations. Two types

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An Introduction to Object Recognition978-1-84996-235-3Series ISSN 2191-6586 Series E-ISSN 2191-6594

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https://doi.org/10.1007/978-1-84996-235-33D; Appearance-based Recognition; Computer Vision; Image Retrieval; Object Alignment; Object Pose; Object