Abstract—Constraining by cameras’ view-angles of the

outdoor monitoring systems, the panoramic digital images

fail to be obtained directly from photographing. A method is

proposed on the basis of the scale invariance feature

transform (i.e. SIFT) algorithm to stitch images captured by

the turning video cameras together to form panoramic

images. Based on the SIFT features and the retrofitted KD-

Tree structure, the BBF searching strategy is employed to

match feature points. Then in a post-processing pass, the

Ransac algorithm is adopted to remove the mismatching

feature points. Photos captured by a surveillance camera are

taken as the input to test the proposed method. According to

the test, the whole processing time of stitch is reduced while

the fidelity of resulting stitched panoramic images is

ensured.-Abstract—Constraining by cameras’ view-angles of the

outdoor monitoring systems, the panoramic digital images

fail to be obtained directly from photographing. A method is

proposed on the basis of the scale invariance feature

transform (i.e. SIFT) algorithm to stitch images captured by

the turning video cameras together to form panoramic

images. Based on the SIFT features and the retrofitted KD-

Tree structure, the BBF searching strategy is employed to

match feature points. Then in a post-processing pass, the

Ransac algorithm is adopted to remove the mismatching

feature points. Photos captured by a surveillance camera are

taken as the input to test the proposed method. According to

the test, the whole processing time of stitch is reduced while

the fidelity of resulting stitched panoramic images is

ensured.