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Detail
ArtikelExtension of Dynamic Link Matching By Introducing Local Linear Maps  
Oleh: Aonishi, T. ; Kurata, K.
Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 11 no. 3 (2000), page 817-822.
Topik: Matching; dynamic; link matching; introducing; local linear maps
Ketersediaan
  • Perpustakaan Pusat (Semanggi)
    • Nomor Panggil: II36.4
    • Non-tandon: 1 (dapat dipinjam: 0)
    • Tandon: tidak ada
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Isi artikelIt is well known that dynamic link matching (DLM) is a flexible pattern matching model tolerant of deformation or non linear transformation. However, previous models cannot treat severely deformed data pattern in which local features do not have their counterparts in a template pattern. We extend DLM by introducing local linear maps (LLM s). Our model has a reference vector and an LLM for each lattice point of a data pattern. The reference vector maps the lattice point into a template pattern and the LLM carries the information regarding how the local neighborhood is mapped. Our model transforms local features by LLMs in a data pattern and then matches them with their counterparts in a template pattern. Therefore, our model is adaptable to larger transformations. For simplicity, we restricted LLM s to rotations. Neighboring LLM s are diffusionally coupled with each other. The model is numerically demonstrated to be very flexible in dealing with deformation and rotation compared to previous models. The framework of our model can be easily extended to models with more general LLM s (expansion, contraction, and so on).
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