A complement to the 8 point algorith in matching uncalibrated image sequences of a scene

• Autorzy: Tefera D. A. , Harada K.
• Języki publikacji: EN

Abstrakty

EN

This paper presents an algorithm which generates an initial set of matching corner points between two uncalibrated images of the same scene. Matching different images of a single scene remains one of the bottlenecks in computer vision. The major part of matching algorithms is to recover the epipolar geometry, which heavily depends on the accuracy of the set of eigh corresponding points that are used to calculate the fundamental matrix between the sets of images under consideration. Thus, an algorithm to locate a reliable initial guess for matching corner points is proposed. The algorithm has been tested and shown reliable with different types of images indicating its ability to localize reliable sets of matching corner points. With the help of non-maximum response suppression technique our approach yields better results than other methods.

Słowa kluczowe

EN

matching; correspondence problem; epipolar geometry; bubble sorting

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2001
• Tom: Vol. 10, No. 1
• Strony: 15--28
• Opis fizyczny: Bibliogr. 26 poz.

Twórcy

autor

Tefera D. A.

autor

Harada K.

• Graduate School of Information Engineering, Hiroshima University 1-7-1 Kagamiyama, Hagashi Hiroshima, Hiroshima 739-8521 Japan