Veri Analizi Araçları Kullanarak Eklemli Şekilleri Şekil Bileşenlerini Bulmadan Temsil Etme

Date

2018-11-08

Author

Genctav, Aslı
Tarı, Zehra Sibel

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In this work, we propose a new representation for articulated shapes, which does not involve extracting shape components. We first form a high -dimensional feature space by collecting local shape information from each shape point and then perform data analysis to measure the distinctness of each shape point from the remaining points. The obtained distinctness values encode both local and global shape information. We represent shapes via histograms of the distinctness values computed via multiple shape scales.

Subject Keywords

Shape representation, RPCA

URI

http://eng.harran.edu.tr/gap2018/wp-content/uploads/GAP2018_Bildiri_KitapciC49Fi28.12.18v2.pdf
https://hdl.handle.net/11511/85882

Conference Name

VI. International GAP Engineering Congress

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

A. Genctav and Z. S. Tarı, “Veri Analizi Araçları Kullanarak Eklemli Şekilleri Şekil Bileşenlerini Bulmadan Temsil Etme,” 2018, p. 618, Accessed: 00, 2021. [Online]. Available: http://eng.harran.edu.tr/gap2018/wp-content/uploads/GAP2018_Bildiri_KitapciC49Fi28.12.18v2.pdf.