Browsing by Author "Navazo, Isabel"

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    30 Texture-based Hybrid Visualízations
    (The Eurographics Association, 2022) Soada, lmma; Navazo, Isabel; Xavier Pueyo; Manuel Próspero dos Santos; Luiz Velho
    ln this paper the visualization of hybrid scenes that contain volume data anda fitted extracted surface is addressed. The proposed algorithm is based on a integrated octree-based representation: the "Hybrid Octree ". The Hybrid Octree allows to obtain multiresolution representation of the volume data and it also maintains a decimated surjace codification. The proposed visualization approach uses 3D-textures for the visualization of the volume data and integrates the surface polygons using the information represented in the octree structure. The main characteristics of the method are: its capabilities to perform multiresolution hybrid visualizations and its efficient use of texture memory space.
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    GPU Collision Detection in Conformal Geometric Space
    (The Eurographics Association, 2021) Roa, Eduardo; Theoktisto, Víctor; Fairén, Marta; Navazo, Isabel; Silva, F. and Gutierrez, D. and Rodríguez, J. and Figueiredo, M.
    We derive a conformal algebra treatment unifying all types of collisions among points, vectors, areas (defined by bivectors and trivectors) and 3D solid objects (defined by trivectors and quadvectors), based in a reformulation of collision queries from R3 to conformal R4,1 space. The algebraic formulation in this 5D space is then implemented in GPU to allow faster parallel computation queries. Results show expected orders of magnitude improvements computing collisions among known mesh models, allowing interactive rates without using optimizations and bounding volume hierarchies.
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    Hoops Fusion: Synthesis of View-dependent Convex Occluders from a Set of Objects
    (The Eurographics Association, 2022) Ríos, Àlex; Navazo, Isabel; Xavier Pueyo; Manuel Próspero dos Santos; Luiz Velho
    Visibility determination is a requirement to navigate through complex scenes. Occluder fusion algorithms generate convex occluders that are contained in the umbra cast by a group of objects given an area light. Hoops are non-convex, but view-dependent convex, non-planar closed polylines that can be used to compute occlusion for objects that not necessarily have large interior convex sets. ln this paper we present an efficient, robust, and incremental octree-based algorithm to synthesize hoops for a set of objects and to compute the hoopís umbra. Experimental results demonstrate the techniqueís effectiveness to compute occluder fusion of non-convex objects.