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|Title:||Full explicit consistency constraints in uncalibrated multiple homography estimation|
|Citation:||Proceedings of the 14th Asian Conference on Computer Vision (ACCV 2018), as published in Lecture Notes in Computer Science, 2019 / vol.11361, pp.659-675|
|Publisher Place:||Cham, Switzerland|
|Series/Report no.:||Lecture Notes in Computer Science; 11361|
|Conference Name:||Asian Conference on Computer Vision (ACCV) (02 Dec 2018 - 06 Dec 2018 : Perth, Western Australia)|
|Wojciech Chojnacki and Zygmunt L. Szpak|
|Abstract:||We reveal a complete set of constraints that need to be imposed on a set of 3×3 matrices to ensure that the matrices represent genuine homographies associated with multiple planes between two views. We also show how to exploit the constraints to obtain more accurate estimates of homography matrices between two views. Our study resolves a long-standing research question and provides a fresh perspective and a more in-depth understanding of the multiple homography estimation task.|
|Keywords:||Multiple homographies; Consistency constraints; Latent variables; Parameter estimation; Scale invariance; Maximum likelihood|
|Rights:||© Springer Nature Switzerland AG 2019|
|Appears in Collections:||Computer Science publications|
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