Invariant 3d Features Invariant 3d Features
نویسنده
چکیده
In this paper we describe a method to construct invariant grey scale features of 3D images. Invariant features remain constant if the images are transformed according to the action of a transformation group. The paper considers only the Euclidean transformation group. In many applications scanned 3D objects underlie translations or rotations which makes it diicult to compare them. Our invariant features achieve the recognition of 3D objects independent of their orientation and position. We propose an application in the medical image processing eld for the use of our invariants. In our experiments we worked with volume images acquired by magnetic resonance imaging (MRI).
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