Browsing by Author "Digne, Julie"

Now showing 1 - 3 of 3
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    Anatomy Changes and Virtual Restoration of Statues
    (The Eurographics Association, 2020) Fu, Tong; Chaine, Raphaelle; Digne, Julie; Spagnuolo, Michela and Melero, Francisco Javier
    Restoration of archaeological artefacts is an important task for cultural heritage preservation. However traditional restoration processes are difficult, costly and sometimes risky for the artefact itself, due to poor restoration choices for example. To avoid this, it is interesting to turn to virtual restoration, which allows to test restoration hypotheses, that can be later carried out on the real artefact. In this paper, we introduce a restoration framework for completing missing parts of archaeological statues, with a focus on human sculptures. Our approach proceeds by registering an anatomical model to a statue, identifying the missing parts. Compatible statues are then provided by the users and their poses are changed to match the broken statue, using a point-cloud specific skinning technique. The modified statues provide replacement parts which are blended in the original statue.
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    Gradient Terrain Authoring
    (The Eurographics Association and John Wiley & Sons Ltd., 2022) Guérin, Eric; Peytavie, Adrien; Masnou, Simon; Digne, Julie; Sauvage, Basile; Gain, James; Galin, Eric; Chaine, Raphaëlle; Kim, Min H.
    Digital terrains are a foundational element in the computer-generated depiction of natural scenes. Given the variety and complexity of real-world landforms, there is a need for authoring solutions that achieve perceptually realistic outcomes without sacrificing artistic control. In this paper, we propose setting aside the elevation domain in favour of modelling in the gradient domain. Such a slope-based representation is height independent and allows a seamless blending of disparate landforms from procedural, simulation, and real-world sources. For output, an elevation model can always be recovered using Poisson reconstruction, which can include Dirichlet conditions to constrain the elevation of points and curves. In terms of authoring our approach has numerous benefits. It provides artists with a complete toolbox, including: cut-and-paste operations that support warping as needed to fit the destination terrain, brushes to modify region characteristics, and sketching to provide point and curve constraints on both elevation and gradient. It is also a unifying representation that enables the inclusion of tools from the spectrum of existing procedural and simulation methods, such as painting localised high-frequency noise or hydraulic erosion, without breaking the formalism. Finally, our constrained reconstruction is GPU optimized and executes in real-time, which promotes productive cycles of iterative authoring.
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    mpLBP: An Extension of the Local Binary Pattern to Surfaces based on an Efficient Coding of the Point Neighbours
    (The Eurographics Association, 2019) Moscoso Thompson, Elia; Biasotti, Silvia; Digne, Julie; Chaine, Raphaëlle; Biasotti, Silvia and Lavoué, Guillaume and Veltkamp, Remco
    The description of surface textures in terms of repeated colorimetric and geometric local surface variations is a crucial task for several applications, such as object interpretation or style identification. Recently, methods based on extensions to the surface meshes of the Local Binary Pattern (LBP) or the Scale-Invariant Feature Transform (SIFT) descriptors have been proposed for geometric and colorimetric pattern retrieval and classification. With respect to the previous works, we consider a novel LBPbased descriptor based on the assignment of the point neighbours into sectors of equal area and a non-uniform, multiple ring sampling. Our method is able to deal with surfaces represented as point clouds. Experiments on different benchmarks confirm the competitiveness of the method within the existing literature, in terms of accuracy and computational complexity.