An algebraic framework for deformable image registration

Sánta, Zsolt; Kató, Zoltán

doi:10.1109/icpr.2016.7900225

Cited by 1 publication

(16 citation statements)

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“…This issue has been handled by regularization in the previous chapter, while herein we investigate the possibility of using radiometric information within our algebraic framework [Sánta and Kato, 2016b].…”

Section: Chapter 4 Robust Registration Of 2d Imagesmentioning

confidence: 99%

“…While in many cases this is sufficient, there are problems where the geometric information is not meaningful enough to give constraints on the solution. For an example, see Figure 4.6, which implies that a particular template shape can have many different observations which are identical as shapes but very different as images [Sánta and Kato, 2016b].…”

Section: Non-rigid Registration Of Covariant Functionsmentioning

confidence: 99%

“…In our current topic, this raises two questions: does the proposed algebraic framework could benefit from the availability of radiometric information and how to integrate it into the system? In the following, we will investigate the answers to these questions [Sánta and Kato, 2016b].…”

Section: Non-rigid Registration Of Covariant Functionsmentioning

confidence: 99%

“…Once we have the covariant functions, we have to combine this information with the algebraic system [Sánta and Kato, 2016b]. One way is to integrate both sides of Equation (4.29) and apply a set of non-linear functions {υ i | υ i : R → R} ℓ i=1 to the intensity functions as…”

Section: Non-rigid Registration Of Covariant Functionsmentioning

confidence: 99%

“…In the current approach, our aim is to combine the robustness of the geometric approach with the regularizing effect of the covariant functions [Sánta and Kato, 2016b]. This is obtained by multiplying Equation (4.1) and Equation (4.30):…”

Section: Non-rigid Registration Of Covariant Functionsmentioning

confidence: 99%

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Non-Rigid Registration of Visual Objects

Sánta

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Sample results on the Bosphorus dataset. In each row, we show the template, the observation, the warped template and the landmark locations, respectively. In the last column, green denotes the ground truth position and red is the estimated location. While the proposed approach achieved good results near nose and mouth areas, the highest errors are near the eyebrows.. .. .. .. . 53 LIST OF FIGURES v 3.20 Comparison between the proposed, the GMMREG [5] and the CPD [6] algorithms. On the left diagram, the D GT measure is presented, while on the right we show the running times of each algorithm. The GMMREG slightly outperformed the proposed approach and the CPD algorithm in terms of alignment accuracy, but the proposed approach has the best running time.. .. .. .. .

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Section: Chapter 4 Robust Registration Of 2d Imagesmentioning

confidence: 99%

Section: Non-rigid Registration Of Covariant Functionsmentioning

confidence: 99%

Section: Non-rigid Registration Of Covariant Functionsmentioning

confidence: 99%

Section: Non-rigid Registration Of Covariant Functionsmentioning

confidence: 99%

Section: Non-rigid Registration Of Covariant Functionsmentioning

confidence: 99%

See 3 more Smart Citations