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The paper presents a new algorithm using curve moment invariants to recognize partially occluded objects in an image. A database is initially built to store the information of a variety of objects after calculating their features represented by curve moment invariants. The images are described by series of corresponding curve moment invariants of the objects as their descriptors. Accordingly, the...
This paper puts forward an algorithm to recognize 2D partially occluded objects by using curve moment invariants. In this approach, images of both model objects and partially occluded unknown objects are firstly pre-processed. Then the objects in images are represented by their different order moment invariants based on boundary partitioning of the silhouettes. Afterwards, the match between the model...
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