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Now showing 1 - 5 of 5
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    Enhancing Medical Diagnosis and Treatment Planning through Automated Acquisition and Classification of Bone Fracture Patterns
    (The Eurographics Association, 2024) Pérez-Cano, Francisco Daniel; Parra-Cabrera, Gema; Camacho-García, Rubén; Jiménez, Juan José; Marco, Julio; Patow, Gustavo
    The extraction of the main features of a fractured bone area enables subsequent virtual reproduction for bone simulations. Exploring the fracture zone for other applications remains largely unexplored in current research. Recreating and analyzing fracture patterns has direct applications in medical training programs for traumatologists, automatic bone fracture reduction algorithms, and diagnostics. Furthermore, pattern classification aids in establishing treatment guidelines that specialists can follow during the surgical process. This paper focuses on the process of obtaining an accurate representation of bone fractures, starting with computed tomography scans, and subsequently classifying these patterns using a convolutional neural network. The proposed methodology aims to streamline the extraction and classification of fractures from clinical cases, contributing to enhanced diagnosis and medical simulation applications.
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    Simulation Based Initial Feasibility Analysis Pipeline for Small-sized Part Picking
    (The Eurographics Association, 2022) Mendizabal-Arrieta, Iñigo; Tammaro, Antonio; Ojer, Marco; Lin, Xiao; Posada, Jorge; Serrano, Ana
    Random bin picking is still one of the main tasks for robotics in the current days. When the environment is very cluttered, the calculation of grasping positions can be highly demanding in terms of time and computing power. To ease the computation load, some parts arranging operations can be performed before the segmentation stage. For instance, for small and light parts, a feeder-vibrating table system can be used to separate the components, allowing them to be easily grasped, and increasing the overall performance of the solution. However, as the geometry and requirements for piece type are different, one or more feasibility tests need to be done for each case. These analyses are usually very time and cost intensive and require the use of expensive hardware such as robots, grippers, and prototype cells. The use of virtual reproductions of the environment like digital twins or physical-based simulations could help reduce the time and effort spent on designing the settings, nevertheless, their correct configuration is not trivial. This paper presents a simulation based analysis method for picking small-sized parts. It aims to supply the tools and define a streamlined procedure for efficient feasibility testing. Those concepts are applied in a specific bin picking scenario of multiple small electronic components. For each part type, a set of case-specific initial and boundary conditions are taken into account, then a series of performance metrics for both bin and vibrating table part picking are computed. The obtained information is decisive to make strategic decisions regarding the hardware requirements, the profitability, and the success probability of the project.
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    An Efficient Point Selection Process over a Meshlet-structured Point Cloud
    (The Eurographics Association, 2024) Ortega, Lidia M.; Fernández, Juan Carlos; Collado, José Antonio; Feito, J. Francisco R.; Marco, Julio; Patow, Gustavo
    Visualizing and interacting increasingly large and dense point clouds imposes the need for new methods with real-time results, where most common solutions imply a disadvantage greater than their benefit. Among the recent software and hardware advances in computer graphics and visualization, it is possible to take the concept of meshlet as a clustering of nearby points in space; this nature can bring a considerable improvement in the interaction process over the classical brute-force based algorithm, similar to common three-dimensional spatial structures. This work implements the point selection process over a meshlet-structured point cloud, assessing its performance against alternative methods and validating its correctness by visualizing the selection result on a graphical interface. By exploiting the meshlet instead of building additional spatial structures, the method's execution time can be optimized, as well as the use of the system's main memory.
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    Procedural Generation of 3D Maps with Wave Function Collapse: Optimization and Advanced Constraints
    (The Eurographics Association, 2025) López, María Beatriz Villar; Chover, Miguel; Argudo, Oscar; Iparraguirre, Olatz
    The Wave Function Collapse algorithm is a widely used Procedural Content Generation technique for creating structured scenarios using local neighborhood constraints. This work presents an extension of the algorithm to generate three-dimensional scenarios, incorporating non-local constraints and key optimizations. The proposed improvements include assigning weights to tiles, layer-based generation, specific appearance constraints for unique or ranged tiles, and an automated neighbor creation and assignment method using connectivity rules. These modifications facilitates the generation of coherent and structured 3D environments, providing greater control and adaptability to the process. Finally, some optimizations are proposed and the approach's effectiveness is evaluated analyzing the impact of constraints on the algorithm's coherence, diversity, and runtime.
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    Synthesis of Reeb Graph and Morse Operators from Level Sets of a Boundary Representation
    (The Eurographics Association, 2022) Pareja-Corcho, Juan; Montoya-Zapata, Diego; Cadavid, Carlos; Moreno, Aitor; Posada, Jorge; Arenas-Tobon, Ketzare; Ruiz-Salguero, Oscar; Posada, Jorge; Serrano, Ana
    In the context of Industrie 4.0, it is necessary for several applications, to encode characteristics of a Boundary Representation of a manifold M in an economical manner. Two related characterizations of closed B-Reps (and the solid they represent) are (1) medial axis and (2) Reeb Graph. The medial axis of a solid region is a non-manifold mixture of 1-simplices and 2- simplices and it is expensive to extract. Because of this reason, this manuscript concentrates in the work-flow necessary to extract the Reeb Graph of the B-Rep. The extraction relies on (a) tests of geometric similarities among slices of M and (b) characterization of the topological transitions in the slice sequence of M. The process roughly includes: (1) tilt of the B-Rep to obtain an unambiguous representation of the level sets ofM,(2) identification and classification of the topological transitions that arise between consecutive level sets, (3) sample of Reeb graph vertices inside the material regions defined by the level sets, (4) creation of Reeb graph edges based on the type of topological transition and the 2D similarity among material regions of consecutive levels. Although the Reeb Graph is a topological construct, geometrical processing is central in its synthesis and compliance with the Nyquist-Shannon sampling interval is crucial for its construction. Future work is needed on the extension of our methodology to account for manifolds with internal voids or nested solids.