WITHDRAWN: Human Body Model Bone Extraction Algorithm Based On Space Segmentation and Computer Image

Li, Xingchang

doi:10.1016/j.micpro.2021.104059

Cited by 2 publications

(1 citation statement)

References 22 publications

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“…Skeleton is a compact mono-dimensional representation able to provide essential topology for both shape recognition and shape manipulation. Skeleton extraction has been widely used in various applications, such as model segmentation [1][2][3], animation [4][5][6][7][8], shape retrieval [9][10][11] and shape modeling [12][13]. Many skeleton extraction methods have been proposed, including high dimensional medial representation [14] and 1D curve representation [15].…”

Section: Introductionmentioning

confidence: 99%

Slicing-guided Skeleton Extraction Method for 3D Point Clouds of Human Body

Yan-Ni Zhao,

Yan-Ni Zhao

2023

Journal of Computers

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<p>In the paper, a slicing-guided method is introduced to extract the curve skeleton from the point cloud body model. Firstly, the dominant eigenvector of body model as slicing direction is chosen adaptively, and the input body model is sliced accordingly. each slice is projected and classified into different regions, and the centroid of each region can be considered as initial skeleton point. Then, those skeleton points are removed outside models, and initial skeleton lines are generated by connecting points based on different region of body model. Finally, the two-step post-processing approach is proposed to improve the initial skeleton results for accurate topological analysis. With the branch point merging strategy, the initial skeleton of the model is optimized. Furthermore, the skeleton lines by interpolation optimization are refined and smoothed. Compared with similar skeleton extraction algorithms, the method proposed in the paper has relatively strong robustness and effectiveness, and can be applied to human body model in point cloud data.</p> <p> </p>

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Section: Introductionmentioning

confidence: 99%

Slicing-guided Skeleton Extraction Method for 3D Point Clouds of Human Body

Yan-Ni Zhao,

Yan-Ni Zhao

2023

Journal of Computers

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Fortifying Cybersecurity in an Interconnected Telemedicine Ecosystem

Eswaran

2024

Advances in Medical Technologies and Clinical Practice

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Telemedicine overcomes geographic barriers but interconnectivity amplifies vulnerabilities that malicious actors exploit, compromising operations and eroding patient trust. This necessitates resilient cybersecurity foundations encompassing governance, network segmentation, identity management, multifactor authentication, endpoint hardening, deception tools, access controls, threat monitoring, and cultural change tailored to telemedicine. Technical risk assessments methodically audit assets, workflows and vendors, guiding proportional protections balancing usability. Additional data security best practices like videoconferencing standards, cloud monitoring, intrusion prevention systems using AI, anonymization, encryption, and workforce education through simulated incident drills foster collective vigilance against insider risks. The insights inform healthcare institutions' security roadmaps attuned to their unique risk appetite and maturity while reassuring patients. A resilient blueprint nurtures innovation ecosystems unlocking telemedicine's immense healthcare access potential.

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WITHDRAWN: Human Body Model Bone Extraction Algorithm Based On Space Segmentation and Computer Image

Cited by 2 publications

References 22 publications

Slicing-guided Skeleton Extraction Method for 3D Point Clouds of Human Body

Slicing-guided Skeleton Extraction Method for 3D Point Clouds of Human Body

Fortifying Cybersecurity in an Interconnected Telemedicine Ecosystem

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