Data‐driven nonrigid object feature analysis: Subspace application of incidence structure

Abstract In object recognition, feature extraction algorithms are designed to capture the discriminate statistics of objects. Due to pose, deformation and background clutter, the recognition of objects becomes nontrivial, particularly nonrigid samples. Through incidence and geometric structure, this...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	Engineering Reports
المؤلفون الرئيسيون:	Nicholas Wells, Chung W. See
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Wiley 2020-04-01
الموضوعات:	data‐driven recognition feature analysis linear geometry nonrigid objects
الوصول للمادة أونلاين:	https://doi.org/10.1002/eng2.12141

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