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Dominique Apprato

dblp:77/3749 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video processing · 67% Geometric modeling and processing · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › deformation modeling
deformation field
0.112012
On the Construction of Topology-Preserving Deformation Fields · IEEE Trans. Image Process. 2012
Image and video processing
image registration
0.112012
On the Construction of Topology-Preserving Deformation Fields · IEEE Trans. Image Process. 2012
Image and video processing › image registration › deformable image registration
topology-preserving registration
0.112012
On the Construction of Topology-Preserving Deformation Fields · IEEE Trans. Image Process. 2012

Methods — techniques the papers use, named apart from their topics

lagrange multiplier · 0.1interval analysis · 0.1gradient vector field correction · 0.1functional minimization · 0.1
YearPublicationVenuePosition
2012 On the Construction of Topology-Preserving Deformation Fields
abstract
In this paper, we investigate a new method to enforce topology preservation on deformation fields. The method is composed of two steps. The first one consists in correcting the gradient vector fields of the deformation at the discrete level, in order to fulfill a set of conditions ensuring topology preservation in the continuous domain after bilinear interpolation. This part, although related to prior works by Karaçali and Davatzikos, proposes a new approach based on interval analysis. The second one aims to reconstruct the deformation, given its full set of discrete gradient vectors. The problem is phrased as a functional minimization problem on the convex subset K of the Hilbert space V. The existence and uniqueness of the solution of the problem are established, and the use of Lagrange's multipliers allows to obtain the variational formulation of the problem on the Hilbert space V . Experimental results demonstrate the efficiency of the method.
Carole Le Guyader, Dominique Apprato, Christian Gout
IEEE Trans. Image Process.2