文件名称:Algorithm-for-Sequence-Image-Automatic-Mosaic-bas
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- 图形图像处理(光照,映射..)
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- [PDF]
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- 2012-11-26
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- 337kb
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- bou3****
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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.
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.
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Algorithm for Sequence Image Automatic Mosaic based on SIFT Feature.pdf