Spectral gradient fields embedding for nonrigid shape matching

Alon Shtern, Ron Kimmel

نتاج البحث: نشر في مجلةمقالةمراجعة النظراء

ملخص

A popular approach for finding the correspondence between two nonrigid shapes is to embed their two-dimensional surfaces into some common Euclidean space, defining the comparison task as a problem of rigid matching in that space. We propose to extend this line of thought and introduce a novel spectral embedding, which exploits gradient fields for point to point matching. With this new embedding, a fully automatic system for finding the correspondence between shapes is introduced. The method is demonstrated to accurately recover the natural maps between nearly isometric surfaces and shown to achieve state-of-the-art results on known shape matching benchmarks.

اللغة الأصليةالإنجليزيّة
الصفحات (من إلى)21-29
عدد الصفحات9
دوريةComputer Vision and Image Understanding
مستوى الصوت140
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 1 نوفمبر 2015

All Science Journal Classification (ASJC) codes

  • !!Software
  • !!Signal Processing
  • !!Computer Vision and Pattern Recognition

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