Multi-View Normal Estimation - Application to Slanted Plane-sweeping - Calcul Intensif, Simulation, Optimisation Access content directly
Conference Papers Year : 2023

Multi-View Normal Estimation - Application to Slanted Plane-sweeping

Abstract

In this paper, we show how to estimate the normals of a 3D surface from a minimum of two views, assuming that the poses of a calibrated camera are perfectly known. For each pair of image points, the normal at the corresponding 3D point is expressed in function of the local gradients of the grey level, whatever the type of image formation (orthogonal or perspective projection). As an application, this allows us to fully estimate the inter-image homography, which not only depends on the relative pose between views, but also on the local orientation of the surface. Hence, the photo-consistency between patches from two images, which is the basis of the so-called "plane-sweeping" method, is improved. Experiments on synthetic and real data validate our approach.
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Dates and versions

hal-04038245 , version 1 (20-03-2023)

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Lilian Calvet, Nicolas Maignan, Baptiste Brument, Jean Mélou, Silvia Tozza, et al.. Multi-View Normal Estimation - Application to Slanted Plane-sweeping. 9th International Conference on Scale Space and Variational Methods in Computer Vision (SSMV 2023), May 2023, Santa Margherita di Pula, Sardinia, Italy. pp.704-716, ⟨10.1007/978-3-031-31975-4_54⟩. ⟨hal-04038245⟩
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