A New Method of Feature Based Image Mosaic

Xianyong Fang; Zhigeng Pan; Gaoqi He; L. I. Li

doi:10.1142/S0219467806002380

A New Method of Feature Based Image Mosaic

Xianyong Fang
, Zhigeng Pan
, Gaoqi He
, L. I. Li

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

A new feature based image mosaic method is presented in this paper. Our main contribution is an improved RANSAC algorithm based on the modified median flow filter to find the inliers and the homography between the images. This algorithm overcomes the limit of local feature detection and thus improves the stability of homography calculation. Except for the RANSAC algorithm, PCA-SIFT is used to detect features because it is more compact, more robust and faster than the standard SIFT. The priority search is also used to match the feature points in a faster way than BBF search. Experiments show that our method is robust for image mosaic.

Original language	English
Pages (from-to)	497-510
Number of pages	14
Journal	International Journal of Image and Graphics
Volume	6
Issue number	3
DOIs	https://doi.org/10.1142/S0219467806002380
State	Published - 1 Jul 2006
Externally published	Yes

Keywords

Feature based automatic image mosaic
PCA-SIFT
RANSAC
median flow filter
priority search

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10.1142/S0219467806002380

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title = "A New Method of Feature Based Image Mosaic",

abstract = "A new feature based image mosaic method is presented in this paper. Our main contribution is an improved RANSAC algorithm based on the modified median flow filter to find the inliers and the homography between the images. This algorithm overcomes the limit of local feature detection and thus improves the stability of homography calculation. Except for the RANSAC algorithm, PCA-SIFT is used to detect features because it is more compact, more robust and faster than the standard SIFT. The priority search is also used to match the feature points in a faster way than BBF search. Experiments show that our method is robust for image mosaic.",

keywords = "Feature based automatic image mosaic, PCA-SIFT, RANSAC, median flow filter, priority search",

author = "Xianyong Fang and Zhigeng Pan and Gaoqi He and Li, \{L. I.\}",

note = "Publisher Copyright: {\textcopyright} 2006 World Scientific Publishing Company.",

year = "2006",

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T1 - A New Method of Feature Based Image Mosaic

AU - Fang, Xianyong

AU - Pan, Zhigeng

AU - He, Gaoqi

AU - Li, L. I.

PY - 2006/7/1

Y1 - 2006/7/1

N2 - A new feature based image mosaic method is presented in this paper. Our main contribution is an improved RANSAC algorithm based on the modified median flow filter to find the inliers and the homography between the images. This algorithm overcomes the limit of local feature detection and thus improves the stability of homography calculation. Except for the RANSAC algorithm, PCA-SIFT is used to detect features because it is more compact, more robust and faster than the standard SIFT. The priority search is also used to match the feature points in a faster way than BBF search. Experiments show that our method is robust for image mosaic.

AB - A new feature based image mosaic method is presented in this paper. Our main contribution is an improved RANSAC algorithm based on the modified median flow filter to find the inliers and the homography between the images. This algorithm overcomes the limit of local feature detection and thus improves the stability of homography calculation. Except for the RANSAC algorithm, PCA-SIFT is used to detect features because it is more compact, more robust and faster than the standard SIFT. The priority search is also used to match the feature points in a faster way than BBF search. Experiments show that our method is robust for image mosaic.

KW - Feature based automatic image mosaic

KW - PCA-SIFT

KW - RANSAC

KW - median flow filter

KW - priority search

UR - https://www.scopus.com/pages/publications/67649140266

U2 - 10.1142/S0219467806002380

DO - 10.1142/S0219467806002380

M3 - 文章

AN - SCOPUS:67649140266

SN - 0219-4678

VL - 6

SP - 497

EP - 510

JO - International Journal of Image and Graphics

JF - International Journal of Image and Graphics

IS - 3

ER -

A New Method of Feature Based Image Mosaic

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Keywords

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