Automatic target recognition by matching oriented edge pixels
نویسندگان
چکیده
منابع مشابه
Automatic target recognition by matching oriented edge pixels
This paper describes techniques to perform efficient and accurate target recognition in difficult domains. In order to accurately model small, irregularly shaped targets, the target objects and images are represented by their edge maps, with a local orientation associated with each edge pixel. Three dimensional objects are modeled by a set of two-dimensional (2-D) views of the object. Translati...
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This paper describes techniques to perform efficient and accurate target recognition in difficult domains. In order to accurately model small, irregularly shaped targets, the target objects and images are represented by their edge maps, with a local orientation associated with each edge pixel. Three-dimensional objects are modeled by a set of two-dimensional (2-D) views of the object. Translati...
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| This paper describes techniques to perform ee-cient and accurate target recognition in diicult domains. In order to accurately model small, irregularly shaped targets, the target objects and images are represented by their edge maps, with a local orientation associated with each edge pixel. Three-dimensional objects are modeled by a set of two-dimensional views of the object. Translation, rot...
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This paper describes techniques to perform eecient and accurate recognition in diicult domains by matching dense, oriented edge pixels. We model three-dimensional objects as the set of two-dimensional views of the object. Translation, rotation, and scaling of the views are allowed to approximate full three-dimensional motion. A modiied Hausdorr measure is used to determine which transformations...
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We present an object recognition system based on symbolic graphs with object corners as vertices and outlines as edges. Corners are determined in a robust way by a multiscale combination of an operator modeling cortical end-stopped cells. Graphs are constructed by line-following between corners. Model matching is then done by nding subgraph isomorphisms in the image graph. The complexity is red...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 1997
ISSN: 1057-7149,1941-0042
DOI: 10.1109/83.552100