Browsing by Author "Lavoué, Guillaume"

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    3DOR 2019: Frontmatter
    (Eurographics Association, 2019) Biasotti, Silvia; Lavoué, Guillaume; Veltkamp, Remco; Biasotti, Silvia and Lavoué, Guillaume and Veltkamp, Remco
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    Eurographics Workshop on 3D Object Retrieval - Short Papers: Frontmatter
    (The Eurographics Association, 2023) Fugacci, Ulderico; Lavoué, Guillaume; Veltkamp, Remco C.; Fugacci, Ulderico; Lavoué, Guillaume; Veltkamp, Remco C.
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    MEPP2: A Generic Platform for Processing 3D Meshes and Point Clouds
    (The Eurographics Association, 2020) Vidal, Vincent; Lombardi, Eric; Tola, Martial; Dupont, Florent; Lavoué, Guillaume; Wilkie, Alexander and Banterle, Francesco
    In this paper, we present MEPP2, an open-source C++ software development kit (SDK) for processing and visualizing 3D surface meshes and point clouds. It provides both an application programming interface (API) for creating new processing filters and a graphical user interface (GUI) that facilitates the integration of new filters as plugins. Static and dynamic 3D meshes and point clouds with appearance-related attributes (color, texture information, normal) are supported. The strength of the platform is to be generic programming oriented. It offers an abstraction layer, based on C++ Concepts, that provides interoperability over several third party mesh and point cloud data structures, such as OpenMesh, CGAL, and PCL. Generic code can be run on all data structures implementing the required concepts, which allows for performance and memory footprint comparison. Our platform also permits to create complex processing pipelines gathering idiosyncratic functionalities of the different libraries. We provide examples of such applications. MEPP2 runs on Windows, Linux & Mac OS X and is intended for engineers, researchers, but also students thanks to simple use, facilitated by the proposed architecture and extensive documentation.
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    Perceptual Quality of BRDF Approximations: Dataset and Metrics
    (The Eurographics Association and John Wiley & Sons Ltd., 2021) Lavoué, Guillaume; Bonneel, Nicolas; Farrugia, Jean-Philippe; Soler, Cyril; Mitra, Niloy and Viola, Ivan
    Bidirectional Reflectance Distribution Functions (BRDFs) are pivotal to the perceived realism in image synthesis. While measured BRDF datasets are available, reflectance functions are most of the time approximated by analytical formulas for storage efficiency reasons. These approximations are often obtained by minimizing metrics such as L2-or weighted quadratic- distances, but these metrics do not usually correlate well with perceptual quality when the BRDF is used in a rendering context, which motivates a perceptual study. The contributions of this paper are threefold. First, we perform a large-scale user study to assess the perceptual quality of 2026 BRDF approximations, resulting in 84138 judgments across 1005 unique participants. We explore this dataset and analyze perceptual scores based on material type and illumination. Second, we assess nine analytical BRDF models in their ability to approximate tabulated BRDFs. Third, we assess several image-based and BRDF-based (Lp, optimal transport and kernel distance) metrics in their ability to approximate perceptual similarity judgments.