Solving multiple square jigsaw puzzles with missing pieces

Genady Paikin, Ayellet Tal

نتاج البحث: فصل من :كتاب / تقرير / مؤتمرمنشور من مؤتمرمراجعة النظراء

ملخص

Jigsaw-puzzle solving is necessary in many applications, including biology, archaeology, and every-day life. In this paper we consider the square jigsaw puzzle problem, where the goal is to reconstruct the image from a set of non-overlapping, unordered, square puzzle parts. Our key contribution is a fast, fully-automatic, and general solver, which assumes no prior knowledge about the original image. It is general in the sense that it can handle puzzles of unknown size, with pieces of unknown orientation, and even puzzles with missing pieces. Moreover, it can handle all the above, given pieces from multiple puzzles. Through an extensive evaluation we show that our approach outperforms state-of-the-art methods on commonly-used datasets.

اللغة الأصليةالإنجليزيّة
عنوان منشور المضيفIEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015
الصفحات4832-4839
عدد الصفحات8
رقم المعيار الدولي للكتب (الإلكتروني)9781467369640
المعرِّفات الرقمية للأشياء
حالة النشرنُشِر - 14 أكتوبر 2015
الحدثIEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015 - Boston, الولايات المتّحدة
المدة: ٧ يونيو ٢٠١٥١٢ يونيو ٢٠١٥

سلسلة المنشورات

الاسمProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
مستوى الصوت07-12-June-2015

!!Conference

!!ConferenceIEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015
الدولة/الإقليمالولايات المتّحدة
المدينةBoston
المدة٧/٠٦/١٥١٢/٠٦/١٥

All Science Journal Classification (ASJC) codes

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

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