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Combining Features and Intensity for Wide-Baseline Non-Rigid Surface Registration

Jim Braux-Zin 1 Romain Dupont 1 Adrien Bartoli 2
1 LVIC - Laboratoire Vision et Ingénierie des Contenus
DIASI - Département Intelligence Ambiante et Systèmes Interactifs : DRT/LIST/DIASI
Abstract : Non rigid surface registration consists in estimating the deformation of a known surface between two images, usually by fitting a warp such as a Thin-Plate Spline or a Free-Form Deformation. Common techniques are split in two categories: feature-based surface detection i.e. estimation of a potentially important deformation from an image and a flat source template, and pixel-based surface tracking where important deformations can be estimated over a video sequence as long as the frame to frame steps are small. Our contribution consists in bridging the two worlds by introducing a new data term robustly merging feature and pixel-based costs in a pyramidal variational approach. By using a robust estimator we achieve an implicit optimal filtering of features and automatic balancing between the two terms. Our goal is to directly estimate a deformation between an image I and a given flat template I0. This deformation is parametrized by the displacements u of the control points of a Free-Form Deformation warp [4]. The image in I of the point q from I0 is W(q,u). For the sake of clarity and to allow easier comparison with feature-based methods, we adopt a feature-filtering model for our cost function
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Submitted on : Thursday, July 12, 2018 - 1:26:11 PM
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Jim Braux-Zin, Romain Dupont, Adrien Bartoli. Combining Features and Intensity for Wide-Baseline Non-Rigid Surface Registration. British Machine Vision Conference , 2013, Bristol, United Kingdom. ⟨10.5244/C.27.125⟩. ⟨cea-01836519⟩



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