Timescape Image Panorama Registration Techniques

Ali, Heider K.

doi:10.22215/etd/2017-11799

Cited by 1 publication

(1 citation statement)

References 51 publications

(88 reference statements)

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“…However, if the image has rotation or scale changes, it will lead to the misplacement of extracted points or wrong extraction. Considering that it lacks of reliability in the case of matching objects got changed, this thesis uses SIFT algorithm in mosaic image feature points extraction [3].…”

Section: Image Registrationmentioning

confidence: 99%

Image Mosaics Algorithm Combined Feature Point Matching with Transformation Parameters

Qiu

Liang

Rong

2013

AMM

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To solve the problem of the large amount of calculation, poor robustness and do not well in image mosaic of images who are in different scales in the traditional image mosaic method ,the article arise a mosaic algorithm of different scales images registration and adaptive. Through feature point matching and automatically recognizing of transform geometric parameters between images,It achieves the match and mosaic of different scale and rotated images. First, using SIFT to extract the feature points of the images and matching feature points according to the principal of mutual information maximum. Then based on the geometric information of the matching pairs, automatically recognize the relationship of transformation parameters. In the end, obtain the projective transformation and achieve the image stable mosaic.

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Section: Image Registrationmentioning

confidence: 99%