Variable Window Size for Stereo Image Matching Based on Edge Information
Küçük Resim Yok
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Fixed window sized methods have usually poor performance compared to variable window size methods due to the noise and context of the scene. In this work, a new variable window size method is proposed for the cost aggregation step of stereo matching. The main idea is to find the depth change regions and match them correctly. Based on the observations, it was seen that the depth changes occurred around the edges of an image. Due to this, the proposed method is designed to determine the window size based on the edge information and match the variable areas of an image. The experimental results are analyzed with the Middlebury stereo evaluation dataset. The proposed method is compared with the sum of absolute differences (SAD) method in different window sizes.
Açıklama
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEY
Anahtar Kelimeler
Stereo Matching, Local Method, Variable Window
Kaynak
2017 International Artificial Intelligence and Data Processing Symposium (Idap)
WoS Q Değeri
N/A
