A systematic approach to nD orientation representation
نویسندگان
چکیده
In this paper we present new insights in methods to solve the orientation representation problem in arbitrary dimensions. The gradient structure tensor is one of the most used descriptors for local structure in multi-dimensional images. We will relate its properties to the double angle method (2D) and the Knutsson mapping. We present a general scheme to reduce the dimensionality of the mappings needed to solve the orientation representation problem and derive some properties of these reduced mappings.
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عنوان ژورنال:
- Image Vision Comput.
دوره 22 شماره
صفحات -
تاریخ انتشار 2004