Graphical Models最新文献

Geometric CBCT reconstruction and scanbody pose estimation for automated dental implant planning 自动种植牙规划的几何CBCT重建和扫描体位姿估计

IF 1.8 4区计算机科学

Graphical Models Pub Date : 2026-09-01 Epub Date: 2026-09-12 DOI: 10.1016/j.gmod.2026.101342

Elena Carmona Vallecillo, David Jurado-Rodríguez, J.R. Jiménez Pérez, Juan M. Jurado

{"title":"Geometric CBCT reconstruction and scanbody pose estimation for automated dental implant planning","authors":"Elena Carmona Vallecillo, David Jurado-Rodríguez, J.R. Jiménez Pérez, Juan M. Jurado","doi":"10.1016/j.gmod.2026.101342","DOIUrl":"10.1016/j.gmod.2026.101342","url":null,"abstract":"<div><div>Cone Beam Computed Tomography (CBCT) is a key imaging modality in dental implantology; however, its automated processing remains challenging due to noise, limited contrast, anatomical variability, and metal artifacts. This work presents a fully automated computational pipeline for three-dimensional reconstruction, geometric dental implant detection, and scanbody pose estimation directly from real clinical CBCT data. In contrast to learning-based approaches, the proposed method relies on geometric and structural analysis, improving interpretability and reducing the dependence on annotated training data. The methodology was evaluated on 26 real CBCT studies acquired under routine clinical conditions, comprising 203 annotated implants. The proposed pipeline achieved a precision of 1.000, a recall of 0.941, and an F1-score of 0.970 for implant detection. For scanbody pose estimation, valid alignments were obtained in 22 out of 26 cases, with a mean alignment error of <span><math><mrow><mn>116.9</mn><mo>±</mo><mn>41.2</mn><mspace></mspace><mi>μ</mi><mi>m</mi></mrow></math></span>. The total processing time per CBCT study remained below two minutes, demonstrating computational feasibility without specialized hardware. These results suggest that the proposed approach is a robust and efficient alternative for automated CBCT processing and may support its integration into computer-assisted implant planning workflows.</div></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"147 ","pages":"Article 101342"},"PeriodicalIF":1.8,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148958909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MagicGeo: Training-free text-guided geometric diagram generation MagicGeo：无训练的文本引导几何图形生成

IF 2.2 4区计算机科学

Graphical Models Pub Date : 2026-06-01 Epub Date: 2026-05-26 DOI: 10.1016/j.gmod.2026.101331

Ting Zhang , Junxiao Wang , Heng Yu , Qunyi Xie , Jingdong Wang , Hua Huang

引用次数: 0

Simplification of locally refined gradient meshes 局部细化梯度网格的简化

IF 2.2 4区计算机科学

Graphical Models Pub Date : 2026-03-01 Epub Date: 2026-03-13 DOI: 10.1016/j.gmod.2026.101322

E. Kato , T. Ophelders , A. Telea , J. Kosinka

引用次数: 0

Monte Carlo optimization for gradient meshes 梯度网格的蒙特卡罗优化

IF 2.2 4区计算机科学

Graphical Models Pub Date : 2026-01-01 Epub Date: 2026-01-09 DOI: 10.1016/j.gmod.2026.101320

K. He, J.B.T.M. Roerdink, J. Kosinka

引用次数: 0

Visual simulation of fruit chilling injury 水果冷害的视觉模拟

IF 2.2 4区计算机科学

Graphical Models Pub Date : 2026-01-01 Epub Date: 2025-11-22 DOI: 10.1016/j.gmod.2025.101309

Yixin Xu , Shiguang Liu

{"title":"Visual simulation of fruit chilling injury","authors":"Yixin Xu , Shiguang Liu","doi":"10.1016/j.gmod.2025.101309","DOIUrl":"10.1016/j.gmod.2025.101309","url":null,"abstract":"<div><div>Chilling injury (CI) is a major postharvest physiological disorder in fruits, causing quality degradation and economic losses during low-temperature storage. While physically-based methods exist for simulating plant deformation, they are computationally intensive and not optimized for capturing the subtle, spatially distributed symptoms of CI, such as browning, pitting, and wrinkling. In this paper, we propose a biologically-informed, texture-based framework for dynamic CI simulation that links biological symptom progression to visual representation. Browning and pitting are modeled using a texture-based de-chilling technique driven by a Logistic model of the chilling injury index (CII), with a histogram-matching-based algorithm ensuring alignment between simulated symptoms and CII values. Wrinkling is simulated by combining kinetic models of water loss with bump maps generated using Worley noise, which approximate the quasi-random yet locally continuous surface deformations caused by epidermal shrinkage. The proposed framework efficiently integrates biologically-driven modeling, dynamic texture evolution, and water-loss-induced surface deformation, producing realistic CI simulations without high-resolution meshes. It applies to multiple fruit types — including tropical climacteric (banana), Solanaceous (tomato), Cucurbit (cucumber), and Citrus (orange, lemon) — offering an effective approach for visualizing CI progression.</div></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"143 ","pages":"Article 101309"},"PeriodicalIF":2.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Corrigendum to “LDM: Large tensorial SDF model for textured mesh generation” [Graphical Models, Volume 140, August 2025, 101271] “LDM：用于纹理网格生成的大张量SDF模型”的勘误表[图形模型，卷140，August 2025, 101271]

IF 2.2 4区计算机科学

Graphical Models Pub Date : 2026-01-01 Epub Date: 2025-12-23 DOI: 10.1016/j.gmod.2025.101319

Rengan Xie , Kai Huang , Xiaoliang Luo , Yizheng Chen , Lvchun Wang , Qi Wang , Qi Ye , Wei Chen , Wenting Zheng , Yuchi Huo

引用次数: 0

EasyAnim: 3D facial animation from in-the-wild videos for avatars with customized riggings EasyAnim: 3D面部动画从野外视频与定制的装备的化身

IF 2.2 4区计算机科学

Graphical Models Pub Date : 2025-12-01 Epub Date: 2025-09-23 DOI: 10.1016/j.gmod.2025.101298

Hao-Xuan Song , Yue Qian , Xiaohang Zhan , Tai-Jiang Mu

引用次数: 0

FD-GCN: Feedback Directed Graph Convolutional Network for skeleton-based action recognition 基于骨架动作识别的反馈有向图卷积网络

IF 2.2 4区计算机科学

Graphical Models Pub Date : 2025-12-01 Epub Date: 2025-11-04 DOI: 10.1016/j.gmod.2025.101306

Ruixi Ran, Wenlu Yang

{"title":"FD-GCN: Feedback Directed Graph Convolutional Network for skeleton-based action recognition","authors":"Ruixi Ran, Wenlu Yang","doi":"10.1016/j.gmod.2025.101306","DOIUrl":"10.1016/j.gmod.2025.101306","url":null,"abstract":"<div><div>Graph Convolutional Network (GCN) has achieved remarkable result in skeleton-based action recognition. In GCNs, multi-order information has shown notable improvement for recognition and the graph topology, which is the key to fusing and extracting representative features. However, the GCN-based methods still face the following problems: (1) Nodes will have over-smooth problems in deep and complex networks. (2) Lack of efficient methods to fuse data streams of different modalities. In this paper, we proposed a novel data-fusing method, Feedback Directed Graph Convolution (FD-GC), to dynamically construct diverse correlation matrices and effectively aggregate both joint and bone features in different hierarchical update state and utilize them as feedback loops to participate in aggregation respectively for both streams. Our methods significantly reduce the difficulty of modeling multi-streams features at a small parameter cost. Furthermore, the experimental results indicate FD-GC alleviates the over-smooth effect via the feedback mechanism, constructing stronger representation capabilities of fine-grained actions, and performs as well as most skeletal motion recognition algorithms on two large public datasets NTU RGB+D 60, NTU RGB+D 120 and Northwestern-UCLA.</div></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"142 ","pages":"Article 101306"},"PeriodicalIF":2.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145474233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal representation of time-dependent spherical geometries 时变球面几何的最佳表示

IF 2.2 4区计算机科学

Graphical Models Pub Date : 2025-12-01 Epub Date: 2025-11-14 DOI: 10.1016/j.gmod.2025.101308

Chiara Sorgentone

引用次数: 0

Efficient adaptive Cartesian mesh generation for complex boundary representation models 复杂边界表示模型的高效自适应笛卡尔网格生成

IF 2.2 4区计算机科学

Graphical Models Pub Date : 2025-12-01 Epub Date: 2025-10-13 DOI: 10.1016/j.gmod.2025.101305

Xiang Gao, Qingyang Zhang, Chunye Gong, Chao Li, Xiaowei Guo, Jie Liu

{"title":"Efficient adaptive Cartesian mesh generation for complex boundary representation models","authors":"Xiang Gao, Qingyang Zhang, Chunye Gong, Chao Li, Xiaowei Guo, Jie Liu","doi":"10.1016/j.gmod.2025.101305","DOIUrl":"10.1016/j.gmod.2025.101305","url":null,"abstract":"<div><div>Cartesian mesh-based fluid simulation methods are gaining popularity due to their fully automated mesh generation capabilities for geometries without repair. The performance and flexibility of Cartesian mesh generation significantly influence their application across various fields. This study introduces an efficient adaptive Cartesian mesh generation framework directly for arbitrary geometries. Initially, we propose a robust, high-quality build-in tessellation method and compute proximity. Subsequently, we design a hierarchical storage method combined with binary search for efficient intersection determination. To enhance flexibility, a fully unstructured data type and compressed data representation are established. Finally, we develop a four-step refinement mechanism to achieve geometric adaptation and smooth transitions effectively. The robustness and efficiency of the approach were validated through typical case studies, demonstrating that the mesh generation process for complex models can reach speeds of up to <span><math><mrow><mn>1</mn><msup><mrow><mn>0</mn></mrow><mrow><mn>5</mn></mrow></msup></mrow></math></span> cells per second, which presents significant potential to address the challenges of real-time simulations.</div></div>","PeriodicalId":55083,"journal":{"name":"Graphical Models","volume":"142 ","pages":"Article 101305"},"PeriodicalIF":2.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0