SIH: segmented intensity histogram for orientation estimation in image matching
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
SPRINGER LONDON LTD
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, we propose a fast and effective new method to reduce the overhead cost of orientation estimation. The proposed method uses the summation of intensity values from segments of image patches and forms a histogram based on those values. As a result, it is faster than SIFT-like algorithms because it does not require computation of gradient orientations and magnitudes. Also, it is as fast as other intensity-based algorithms with better image matching performance. Proposed method could be easily integrated to any image matching algorithms. Test results indicate that SIFT integrated with proposed orientation estimation method produces comparable results as the original multi-angle SIFT algorithm with less execution time.
Açıklama
Anahtar Kelimeler
Image matching, Local features, Dominant orientation, Rotation invariance, SIFT, Orientation estimation, Keypoint matching
Kaynak
SIGNAL IMAGE AND VIDEO PROCESSING
WoS Q Değeri
Q3
Scopus Q Değeri
Q2
Cilt
10
Sayı
6
