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To eliminate or reduce wrong pairs in SIFT(Scale Invariant Feature Transform)feature matching, this paper proposes an error canceling algorithm through computing match-base. First finding three match point pairs by considering minimal Euclidean distance; second take three match point pairs as match-base if these pairs satisfy with criterion, or finding another three match pairs. Finally checking all...
In this paper, we describe the design of a mosaicing technique for images from a microscope system with automatically controlled object stage and image capture unit. Due to the limited field of view in microscope imagery, larger objects are split up into many adjacent, but slightly overlapping frames. In many fields, such as medicine or biology, it is vastly beneficial that these image patches are...
We present a wide-baseline image matching approach based on line segments. Line segments are clustered into local groups according to spatial proximity. Each group is treated as a feature called a Line Signature. Similar to local features, line signatures are robust to occlusion, image clutter, and viewpoint changes. The descriptor and similarity measure of line signatures are presented. Under our...
We propose a robust method for mosaicing of document images using features derived from connected components. Each connected component is described using the angular radial transform (ART). To ensure geometric consistency during feature matching, the ART coefficients of a connected component are augmented with those of its two nearest neighbors. The proposed method addresses two critical issues often...
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