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Related papers: Volume Rendering of Human Hand Anatomy

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Transfer function design is crucial in volume rendering, as it directly influences the visual representation and interpretation of volumetric data. However, creating effective transfer functions that align with users' visual objectives is…

Graphics · Computer Science 2024-06-25 Sangwon Jeong , Jixian Li , Christopher Johnson , Shusen Liu , Matthew Berger

Capturing and rendering life-like hair is particularly challenging due to its fine geometric structure, the complex physical interaction and its non-trivial visual appearance.Yet, hair is a critical component for believable avatars. In this…

Computer Vision and Pattern Recognition · Computer Science 2021-12-21 Ziyan Wang , Giljoo Nam , Tuur Stuyck , Stephen Lombardi , Michael Zollhoefer , Jessica Hodgins , Christoph Lassner

Following the recent advances in the field of robotic hand development, it can be inferred that the greatest challenge lies in restoring not just general functionality, but the delicate dexterity of the human hand. Results from studying its…

Robotics · Computer Science 2019-09-18 Benedek Jozsef Tasi , Miklos Koller , Gyorgy Cserey

Handovers are basic yet sophisticated motor tasks performed seamlessly by humans. They are among the most common activities in our daily lives and social environments. This makes mastering the art of handovers critical for a social and…

Robotics · Computer Science 2023-04-06 Parag Khanna , Mårten Björkman , Christian Smith

Segmenting muscle compartments and measuring their architecture can facilitate movement function assessment, accurate musculoskeletal modeling, and synergy-based electromyogram simulation. Here, we presented a novel method for volumetric…

Image and Video Processing · Electrical Eng. & Systems 2025-07-02 Yang Li

Recently, diagnosis, therapy and monitoring of human diseases involve a variety of imaging modalities, such as magnetic resonance imaging(MRI), computed tomography(CT), Ultrasound(US) and Positron-emission tomography(PET) as well as a…

Computer Vision and Pattern Recognition · Computer Science 2018-09-25 Jing Yuan , Aaron Fenster

Acquisition and rendering of photo-realistic human heads is a highly challenging research problem of particular importance for virtual telepresence. Currently, the highest quality is achieved by volumetric approaches trained in a person…

Computer Vision and Pattern Recognition · Computer Science 2021-01-08 Amit Raj , Michael Zollhoefer , Tomas Simon , Jason Saragih , Shunsuke Saito , James Hays , Stephen Lombardi

We have recently seen tremendous progress in the neural advances for photo-real human modeling and rendering. However, it's still challenging to integrate them into an existing mesh-based pipeline for downstream applications. In this paper,…

Magnetic resonance imaging (MRI) is the cornerstone technique for diagnostic medicine, biology, and neuroscience. This imaging method is highly innovative, noninvasive and its impact continues to grow. It can be used for measuring changes…

Human volumetric capture is a long-standing topic in computer vision and computer graphics. Although high-quality results can be achieved using sophisticated off-line systems, real-time human volumetric capture of complex scenarios,…

Computer Vision and Pattern Recognition · Computer Science 2021-05-07 Tao Yu , Zerong Zheng , Kaiwen Guo , Pengpeng Liu , Qionghai Dai , Yebin Liu

Human manipulation skills represent a pinnacle of their voluntary motor functions, requiring the coordination of many degrees of freedom and processing of high-dimensional sensor input to achieve remarkable dexterity. Thus, we set out to…

Manipulating objects with robotic hands is a complicated task. Not only the fingers of the hand, but also the pose of the robot's end effector need to be coordinated. Using human demonstrations of movements is an intuitive and…

Estimating 3D hand meshes from single RGB images is challenging, due to intrinsic 2D-3D mapping ambiguities and limited training data. We adopt a compact parametric 3D hand model that represents deformable and articulated hand meshes. To…

Computer Vision and Pattern Recognition · Computer Science 2019-04-10 Seungryul Baek , Kwang In Kim , Tae-Kyun Kim

Magnetic Resonance Imaging (MRI) has become one of the most important tools to screen humans in medicine, virtually every modern hospital is equipped with an NMR tomograph. The potential of NMR in 3D imaging tasks is by far greater, but…

Soft Condensed Matter · Physics 2018-09-14 Ralf Stannarius

We propose a visualization application, designed for the exploration of human spine simulation data. Our goal is to support research in biomechanical spine simulation and advance efforts to implement simulation-backed analysis in surgical…

Graphics · Computer Science 2021-02-02 Pepe Eulzer , Sabine Bauer , Francis Kilian , Kai Lawonn

Upper limb and hand functionality is critical to many activities of daily living and the amputation of one can lead to significant functionality loss for individuals. From this perspective, advanced prosthetic hands of the future are…

Robotics · Computer Science 2021-03-09 Mo Han , Sezen Ya{ğ}mur Günay , Gunar Schirner , Taşkın Padır , Deniz Erdo{ğ}muş

Medical Mixed Reality helps surgeons to contextualize intraoperative data with video of the surgical scene. Nonetheless, the surgical scene and anatomical target are often occluded by surgical instruments and surgeon hands. In this paper…

Computer Vision and Pattern Recognition · Computer Science 2017-09-27 Séverine Habert , Ma Meng , Pascal Fallavollita , Nassir Navab

Off-resonance artifacts in magnetic resonance imaging (MRI) are visual distortions that occur when the actual resonant frequencies of spins within the imaging volume differ from the expected frequencies used to encode spatial information.…

Medical Physics · Physics 2023-11-23 Annesha Ghosh , Gordon Wetzstein , Mert Pilanci , Sara Fridovich-Keil

Volumetric medical imaging technologies produce detailed 3D representations of anatomical structures. However, effective medical data visualization and exploration pose significant challenges, especially for individuals with limited medical…

Human-Computer Interaction · Computer Science 2025-07-01 Qixuan Liu , Shi Qiu , Yinqiao Wang , Xiwen Wu , Kenneth Siu Ho Chok , Chi-Wing Fu , Pheng-Ann Heng

Human shape spaces have been extensively studied, as they are a core element of human shape and pose inference tasks. Classic methods for creating a human shape model register a surface template mesh to a database of 3D scans and use…

Computer Vision and Pattern Recognition · Computer Science 2024-06-24 Stephan Wenninger , Fabian Kemper , Ulrich Schwanecke , Mario Botsch