Panorama mosaicking on scale-invariant feature transform
Wenyi Chen · 2012
By analyzing difference of the panorama mosaicking methods available,a new one based on the scale-invariant feature transform(SIFT) algorithm is proposed.SIFT is robust to the image quality and illumination factors then extracting and matching abundant match information with this arithmetic.The initial value of H matrix is counted by Random Sample Consensus(RANSAC) and further conversion to accurate value of H matrix which counted by iterative refinement algorithm.Use the fix angle pictures which camera filming in advanced to get the transform angle H matrix,therefore,make the two images which have angle difference adjust to vertical shooting plane.Finally,mosaicking adjusted two images according SIFT and projection algorithm.Simulation proved that new method is simple and reduce the distortion at the edge field after two images mosaicking then improve its quality.