Thematische Bibliographien / Skeleton segmentation

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Auswahl der wissenschaftlichen Literatur zum Thema „Skeleton segmentation“

Autor: Grafiati

Veröffentlicht am 25. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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Zeitschriftenartikel zum Thema "Skeleton segmentation"

Lee, Jonha, Dong-Wook Kim, Chee Won, and Seung-Won Jung. "Graph Cut-Based Human Body Segmentation in Color Images Using Skeleton Information from the Depth Sensor." Sensors 19, no. 2 (2019): 393. http://dx.doi.org/10.3390/s19020393.

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Segmentation of human bodies in images is useful for a variety of applications, including background substitution, human activity recognition, security, and video surveillance applications. However, human body segmentation has been a challenging problem, due to the complicated shape and motion of a non-rigid human body. Meanwhile, depth sensors with advanced pattern recognition algorithms provide human body skeletons in real time with reasonable accuracy. In this study, we propose an algorithm that projects the human body skeleton from a depth image to a color image, where the human body regio

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Tian, Haitao, and Pierre Payeur. "Stitch, Contrast, and Segment: Learning a Human Action Segmentation Model Using Trimmed Skeleton Videos." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 7 (2025): 7365–73. https://doi.org/10.1609/aaai.v39i7.32792.

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Existing skeleton-based human action classification models rely on well-trimmed action-specific skeleton videos for both training and testing, precluding their scalability to real-world applications where untrimmed videos exhibiting concatenated actions are predominant. To overcome this limitation, recently introduced skeleton action segmentation models involve un-trimmed skeleton videos into end-to-end training. The model is optimized to provide frame-wise predictions for any length of testing videos, simultaneously realizing action localization and classification. Yet, achieving such an impr

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Li, Xiaofeng, Yuxin Guo, Han Yang, Qixiang Ye, and Limin Jia. "DWPIS: Dynamic-Weight Parallel Instance and Skeleton Network for Railway Centerline Detection." Applied Sciences 13, no. 10 (2023): 6133. http://dx.doi.org/10.3390/app13106133.

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The primary premise of autonomous railway inspection using unmanned aerial vehicles is achieving autonomous flight along the railway. In our previous work, fitted centerline-based unmanned aerial vehicle (UAV) navigation is proven to be an effective method to guide UAV autonomous flying. However, the empirical parameters utilized in the fitting procedure lacked a theoretical basis and the fitted curves were also not coherent nor smooth. To address these problems, this paper proposes a skeleton detection method, called the dynamic-weight parallel instance and skeleton network, to directly extra

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Grun, Tobias B., and James H. Nebelsick. "Structural design of the minute clypeasteroid echinoid Echinocyamus pusillus." Royal Society Open Science 5, no. 5 (2018): 171323. http://dx.doi.org/10.1098/rsos.171323.

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The clypeasteroid echinoid skeleton is a multi-plated, light-weight shell construction produced by biomineralization processes. In shell constructions, joints between individual elements are considered as weak points, yet these echinoid skeletons show an extensive preservation potential in both Recent and fossil environments. The remarkable strength of the test is achieved by skeletal reinforcement structures and their constructional layouts. Micro-computed tomography and scanning electron microscopy are used for microstructural and volumetric analyses of the echinoid's skeleton. It is shown t

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TAKUMA, Naoki, Koichiro DEGUCHI, and Iwao MORISHITA. "Image Figure Segmentation Using Morphological Skeleton." Transactions of the Society of Instrument and Control Engineers 29, no. 11 (1993): 1361–68. http://dx.doi.org/10.9746/sicetr1965.29.1361.

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Zhao, Mingyue, Han Li, Di Zhang, et al. "Skeleton2Mask: Skeleton-supervised airway segmentation." Medical Image Analysis 105 (October 2025): 103693. https://doi.org/10.1016/j.media.2025.103693.

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Moreno-Avendano, Santiago, Daniel Mejia-Parra, and Oscar Ruiz-Salguero. "Triangle mesh skeletonization using non-deterministic voxel thinning and graph spectrum segmentation." MATEC Web of Conferences 336 (2021): 02030. http://dx.doi.org/10.1051/matecconf/202133602030.

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In the context of shape processing, the estimation of the medial axis is relevant for the simplification and re-parameterization of 3D bodies. The currently used methods are based on (1) General fields, (2) Geometric methods and (3) voxel-based thinning. They present shortcomings such as (1) overrepresentation and non-smoothness of the medial axis due to high frequency nodes and (2) biased-skeletons due to skewed thinning. To partially overcome these limitations, this article presents a non-deterministic algorithm for the estimation of the 1D skeleton of triangular B-Reps or voxel-based body r

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Sun, Xiaopeng, J. Pan, and Xiaopeng Wei. "3D mesh skeleton extraction using prominent segmentation." Computer Science and Information Systems 7, no. 1 (2010): 63–74. http://dx.doi.org/10.2298/csis1001063s.

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Skeleton of 3D mesh is a fundamental shape feature, and is useful for shape description and other many applications in 3D Digital Geometry Processing. This paper presents a novel skeleton extraction algorithm based on feature point and core extraction by the Multidimensional scaling (MDS) transformation. The algorithm first straights the folded prominent branch up, as well as the prominent shape feature points of mesh are computed, a meaningful segmentation is applied under the direction of feature points. The Node-ring of all segmented components is defined by discrete geodesic path on mesh s

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Grosgeorge, Damien, Caroline Petitjean, Bernard Dubray, and Su Ruan. "Esophagus Segmentation from 3D CT Data Using Skeleton Prior-Based Graph Cut." Computational and Mathematical Methods in Medicine 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/547897.

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The segmentation of organs at risk in CT volumes is a prerequisite for radiotherapy treatment planning. In this paper, we focus on esophagus segmentation, a challenging application since the wall of the esophagus, made of muscle tissue, has very low contrast in CT images. We propose in this paper an original method to segment in thoracic CT scans the 3D esophagus using a skeleton-shape model to guide the segmentation. Our method is composed of two steps: a 3D segmentation by graph cut with skeleton prior, followed by a 2D propagation. Our method yields encouraging results over 6 patients.

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CHENG, JIN-CHANG, and HON-SON DON. "SEGMENTATION OF BILEVEL IMAGES USING MATHEMATICAL MORPHOLOGY." International Journal of Pattern Recognition and Artificial Intelligence 06, no. 04 (1992): 595–628. http://dx.doi.org/10.1142/s0218001492000321.

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This paper presents the results of a study on the use of morphological skeleton transformation to segment gray-scale images into bilevel images. When a bilevel image (such as printed texts and machine tools) is digitized, the result is a gray-scale image due to the point spread function of digitizer, non-uniform illumination and noise. Our method can recover the original bilevel image from the gray-scale image. The theoretical basis of the algorithm is the physical structure of the skeleton set. A connectivity property of the gray-scale skeleton transformation is used to separate and remove th

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Dissertationen zum Thema "Skeleton segmentation"

Hedström, Anders. "Automatic Segmentation of Skeleton in Whole-Body MR Images." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-211221.

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Magnetic Resonance Imaging(MRI) has developed as a widespread technique to examine various body parts and diagnose a wide range of diseases. MRI can often be superior to other imaging techniques such as Computed Tomography(CT) since it does not use ionizing radiation and can give a clearer image of soft tissue. As MRI becomes a more important part in medicine the demands on software to analyse the images and extract useful information increases. Today medical image analysis can be used to localise tumours, measure brain substance and to isolate specific organs. Although much has happened in th

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Lidayová, Kristína. "Fast Methods for Vascular Segmentation Based on Approximate Skeleton Detection." Doctoral thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-318796.

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Modern medical imaging techniques have revolutionized health care over the last decades, providing clinicians with high-resolution 3D images of the inside of the patient's body without the need for invasive procedures. Detailed images of the vascular anatomy can be captured by angiography, providing a valuable source of information when deciding whether a vascular intervention is needed, for planning treatment, and for analyzing the success of therapy. However, increasing level of detail in the images, together with a wide availability of imaging devices, lead to an urgent need for automated t

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Pérez, Rocha Ana Laura. "Segmentation and Line Filling of 2D Shapes." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/23676.

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The evolution of technology in the textile industry reached the design of embroidery patterns for machine embroidery. In order to create quality designs the shapes to be embroidered need to be segmented into regions that define different parts. One of the objectives of our research is to develop a method to automatically segment the shapes and by doing so making the process faster and easier. Shape analysis is necessary to find a suitable method for this purpose. It includes the study of different ways to represent shapes. In this thesis we focus on shape representation through its skeleton.

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HE, LEI. "A COMPARISON OF DEFORMABLE CONTOUR METHODS AND MODEL BASED APPROACH USING SKELETON FOR SHAPE RECOVERY FROM IMAGES." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1059746287.

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Belbaisi, Adham. "Deep Learning-Based Skeleton Segmentation for Analysis of Bone Marrow and Cortical Bone in Water-Fat Magnetic Resonance Imaging." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297528.

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A major health concern for subjects with diabetes is weaker bones and increased fracture risk. Current clinical assessment of the bone strength is performed by measuring Bone Mineral Density (BMD), where low BMD-values are associated with an increased risk of fracture. However, subjects with Type 2 Diabetes (T2D) have been shown to have normal or higher BMD-levels compared to healthy controls, which does not reflect the recognized bone fragility among diabetics. Thus, there is need for more research about diabetes-related bone fragility to find other factors of impaired bone health. One potent

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Limkhaitir, Mohamed Mahmoud. "Modélisation des formes volumiques à partir d'images tomographiques 3D : application à la Caractérisation de l'espace poral du sol." Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066556.

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Nous présentations dans ce travail une méthode de représentation des formes volumiques 3D complexes. Nous dé nissons une forme volumique 3D par un ensemble de voxels extrait d'un traitement d'images Tomographiques 3D. cet ensemble est définit par sa fonction indicatrice. Notre objectif est le calcul d'une approximation analytique continue par morceau, compact, stable et robuste de la forme initiale, qui conserve ses propriétés topologiques et géométriques. Nous proposons une description de la forme par un ensemble minimum de boules incluses dans la forme et recouvrant son squelette. Nous démon

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LIVESU, MARCO. "Understanding the Structure of 3D Shapes." Doctoral thesis, Università degli Studi di Cagliari, 2014. http://hdl.handle.net/11584/266500.

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Compact representations of three dimensional objects are very often used in computer graphics to create effective ways to analyse, manipulate and transmit 3D models. Their ability to abstract from the concrete shapes and expose their structure is important in a number of applications, spanning from computer animation, to medicine, to physical simulations. This thesis will investigate new methods for the generation of compact shape representations. In the first part, the problem of computing optimal PolyCube base complexes will be considered. PolyCubes are orthogonal polyhedra used in c

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Limkhaitir, Mohamed Mahmoud. "Modélisation des formes volumiques à partir d'images tomographiques 3D : application à la Caractérisation de l'espace poral du sol." Electronic Thesis or Diss., Paris 6, 2014. http://www.theses.fr/2014PA066556.

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Erdem, Mehmet Erkut. "Simultaneous Bottom-up/top-down Processing In Early And Mid Level Vision." Phd thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12610167/index.pdf.

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The prevalent view in computer vision since Marr is that visual perception is a data-driven bottom-up process. In this view, image data is processed in a feed-forward fashion where a sequence of independent visual modules transforms simple low-level cues into more complex abstract perceptual units. Over the years, a variety of techniques has been developed using this paradigm. Yet an important realization is that low-level visual cues are generally so ambiguous that they could make purely bottom-up methods quite unsuccessful. These ambiguities cannot be resolved without taking account of high-

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Gopalan, Sowmya. "Estimating Columnar Grain Size in Steel-Weld Images using Image Processing Techniques." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250621610.

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Bücher zum Thema "Skeleton segmentation"

Burton, Derek, and Margaret Burton. The skeleton, support and movement. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198785552.003.0003.

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Buoyancy largely supports fish, reducing the role of the skeleton, which functions as an attachment for muscle involved in movement and in protection, as exoskeleton (scales, scutes, bony plates) and as endoskeleton (vertebral column, skull). The general organization of fish skeletons and their component parts are described, as well as bone and cartilage. The interesting occurrence of acellular bone, additional to cellular bone, in teleosts is considered. Fish show metameric segmentation with myotomes on either side of the vertebral column, the latter acting as a compression strut, preventing

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Behrooz, Ali. Systems and Methods for Automated Segmentation of Individual Skeletal Bones in 3D Anatomical Images: United States Patent 9999400. Independently Published, 2020.

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Buchteile zum Thema "Skeleton segmentation"

Gaillard, Mathieu, Chenyong Miao, James Schnable, and Bedrich Benes. "Sorghum Segmentation by Skeleton Extraction." In Computer Vision – ECCV 2020 Workshops. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65414-6_21.

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Ji, Haoyu, Bowen Chen, Xinglong Xu, Weihong Ren, Zhiyong Wang, and Honghai Liu. "Language-Assisted Skeleton Action Understanding for Skeleton-Based Temporal Action Segmentation." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-72949-2_23.

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Feng, Cong, Andrei C. Jalba, and Alexandru C. Telea. "Part-Based Segmentation by Skeleton Cut Space Analysis." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18720-4_51.

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Lin, Zudi, Donglai Wei, Aarush Gupta, Xingyu Liu, Deqing Sun, and Hanspeter Pfister. "Structure-Preserving Instance Segmentation via Skeleton-Aware Distance Transform." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43898-1_51.

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Chen, Mengzhen, Jixiang Du, Hongbo Zhang, Qing Lei, and Chuanmin Zhai. "Refining Skeleton-Based Temporal Action Segmentation with Edge Information." In Computer Supported Cooperative Work and Social Computing. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9640-7_15.

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Lovato, Christian, Umberto Castellani, and Andrea Giachetti. "Automatic Segmentation of Scanned Human Body Using Curve Skeleton Analysis." In Computer Vision/Computer Graphics CollaborationTechniques. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01811-4_4.

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Yangel, Boris, and Dmitry Vetrov. "Image Segmentation with a Shape Prior Based on Simplified Skeleton." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23094-3_18.

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Wang, Yubo, Li Chen, Zhida Feng, and Yunxiang Cao. "Joint Skeleton and Boundary Features Networks for Curvilinear Structure Segmentation." In Lecture Notes in Computer Science. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4761-4_20.

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Tan, Chenwei, Tao Sun, Talas Fu, Yuhan Wang, Minjie Xu, and Shenglan Liu. "Hierarchical Spatial-Temporal Network for Skeleton-Based Temporal Action Segmentation." In Pattern Recognition and Computer Vision. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-8549-4_3.

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Rabatel, Gilles, Anne-Gaëlle Manh, Marie-José Aldon, and Bernard Bonicelli. "Skeleton-Based Shape Models with Pressure Forces: Application to Segmentation of Overlapping Leaves." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45129-3_22.

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Konferenzberichte zum Thema "Skeleton segmentation"

Teramoto, Naoki, and Youji Ochi. "Skeleton Estimation in Gymnastics Using Segmentation Masks." In 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE). IEEE, 2024. https://doi.org/10.1109/gcce62371.2024.10760896.

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Romeo, Laura, Cosimo Patruno, Grazia Cicirelli, and Tiziana D’Orazio. "Multi-View Skeleton Analysis for Human Action Segmentation Tasks." In 14th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013129500003905.

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Hyder, Syed Waleed, Muhammad Usama, Anas Zafar, et al. "Action Segmentation Using 2D Skeleton Heatmaps and Multi-Modality Fusion." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10610644.

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Wang, Youming, Shuwang Zhou, Xinyang Shi, Tao Chen, and Jiong Zhang. "A novel multiscale 3D segmentation network based on vascular skeleton assistance." In Sixteenth International Conference on Graphics and Image Processing (ICGIP 2024), edited by Liang Xiao. SPIE, 2025. https://doi.org/10.1117/12.3057741.

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Jamal, Muhammad Asif, and Bumshik Lee. "Accurate 3D Tooth Segmentation via Skeleton and Centroid Guidance in CBCT Imaging." In 2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC). IEEE, 2025. https://doi.org/10.1109/icaiic64266.2025.10920685.

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Ashino, Kosuke, Naoki Kamiya, Xiangrong Zhou, Hiroki Kato, Takeshi Hara, and Hiroshi Fujita. "Dual-perspective virtual unfolding U-Net (DPVU-Net) models for comprehensive superficial skeletal muscles segmentation in CT images." In Computer-Aided Diagnosis, edited by Susan M. Astley and Axel Wismüller. SPIE, 2025. https://doi.org/10.1117/12.3046897.

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Liu, Chuni, Boyuan Ma, Xiaojuan Ban, et al. "Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/121.

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Topological consistency plays a crucial role in the task of boundary segmentation for reticular images, such as cell membrane segmentation in neuron electron microscopic images, grain boundary segmentation in material microscopic images and road segmentation in aerial images. In these fields, topological changes in segmentation results have a serious impact on the downstream tasks, which can even exceed the misalignment of the boundary itself. To enhance the topology accuracy in segmentation results, we propose the Skea-Topo Aware loss, which is a novel loss function that takes into account th

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Neubauer, Andre, and Rainer Wegenkittl. "Skeleton-based myocardium segmentation." In Electronic Imaging 2003, edited by Robert F. Erbacher, Philip C. Chen, Jonathan C. Roberts, Matti T. Groehn, and Katy Boerner. SPIE, 2003. http://dx.doi.org/10.1117/12.473945.

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"Skeleton-Based Shape Segmentation." In International Workshop on Image Mining Theory and Applications. SciTePress - Science and and Technology Publications, 2009. http://dx.doi.org/10.5220/0001963500840092.

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Reniers, Dennie, and Alexandru Telea. "Skeleton-based Hierarchical Shape Segmentation." In IEEE International Conference on Shape Modeling and Applications 2007 (SMI '07). IEEE, 2007. http://dx.doi.org/10.1109/smi.2007.33.

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