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Harnessing human movements to command an Unmanned Aerial Vehicle (UAV) holds the potential to revolutionize their deployment, rendering it more intuitive and user-centric. In this research, we introduce a novel methodology adept at…

Robotics · Computer Science 2024-08-20 Akash Chaudhary , Tiago Nascimento , Martin Saska

We introduce ScanComplete, a novel data-driven approach for taking an incomplete 3D scan of a scene as input and predicting a complete 3D model along with per-voxel semantic labels. The key contribution of our method is its ability to…

Computer Vision and Pattern Recognition · Computer Science 2018-03-29 Angela Dai , Daniel Ritchie , Martin Bokeloh , Scott Reed , Jürgen Sturm , Matthias Nießner

The process of tracking human anatomy in computer vision is referred to pose estimation, and it is used in fields ranging from gaming to surveillance. Three-dimensional pose estimation traditionally requires advanced equipment, such as…

Computer Vision and Pattern Recognition · Computer Science 2022-08-25 Alice Ruget , Max Tyler , Germán Mora Martín , Stirling Scholes , Feng Zhu , Istvan Gyongy , Brent Hearn , Steve McLaughlin , Abderrahim Halimi , Jonathan Leach

Full 3D scanning can efficiently be obtained using structured light scanning combined with a rotation stage. In this setting it is, however, necessary to reposition the object and scan it in different poses in order to cover the entire…

Computer Vision and Pattern Recognition · Computer Science 2021-09-15 Dolores Messer , Jakob Wilm , Eythor R. Eiriksson , Vedrana A. Dahl , Anders B. Dahl

Reconstructing and processing the 3D objects are popular activities in the research field of computer graphics, image processing and computer vision. The 3D objects are processed based on the methods like geometric modeling, a branch of…

Computer Vision and Pattern Recognition · Computer Science 2023-10-18 Sinh Van Nguyen , Son Thanh Le , Minh Khai Tran , Le Thanh Sach

Facial geometry and appearance capture have demonstrated tremendous success in 3D scanning real humans in studios. Recent works propose to democratize this technique while keeping the results high quality. However, they are still…

Computer Vision and Pattern Recognition · Computer Science 2026-03-18 Yuxuan Han , Junfeng Lyu , Feng Xu

Background: Three-dimensional (3D) cephalometric analysis using computerized tomography data has been rapidly adopted for dysmorphosis and anthropometry. Several different approaches to automatic 3D annotation have been proposed to overcome…

Computer Vision and Pattern Recognition · Computer Science 2023-07-27 Sung Ho Kang , Kiwan Jeon , Hak-Jin Kim , Jin Keun Seo , Sang-Hwy Lee

Three-dimensional (3D) printed preoperative planning models serve a critical role in the success of many medical procedures. However, many of these models do not portray the patient's complete anatomy due to their monolithic and static…

Medical Physics · Physics 2025-08-15 Keshav Jha , Joseph Mayer

Recently, text-guided 3D generative methods have made remarkable advancements in producing high-quality textures and geometry, capitalizing on the proliferation of large vision-language and image diffusion models. However, existing methods…

Computer Vision and Pattern Recognition · Computer Science 2023-08-30 Xiao Han , Yukang Cao , Kai Han , Xiatian Zhu , Jiankang Deng , Yi-Zhe Song , Tao Xiang , Kwan-Yee K. Wong

Purpose: Accurate 3D hand pose estimation supports surgical applications such as skill assessment, robot-assisted interventions, and geometry-aware workflow analysis. However, surgical environments pose severe challenges, including intense…

Most real-world 3D sensors such as LiDARs perform fixed scans of the entire environment, while being decoupled from the recognition system that processes the sensor data. In this work, we propose a method for 3D object recognition using…

Computer Vision and Pattern Recognition · Computer Science 2021-07-09 Siddharth Ancha , Yaadhav Raaj , Peiyun Hu , Srinivasa G. Narasimhan , David Held

3D Gaussian Splats (3DGSs) are 3D object models derived from multi-view images. Such "digital twins" are useful for simulations, virtual reality, marketing, robot policy fine-tuning, and part inspection. 3D object scanning usually requires…

Robotics · Computer Science 2025-08-04 Tianshuang Qiu , Zehan Ma , Karim El-Refai , Hiya Shah , Chung Min Kim , Justin Kerr , Ken Goldberg

To endow machines with the ability to perceive the real-world in a three dimensional representation as we do as humans is a fundamental and long-standing topic in Artificial Intelligence. Given different types of visual inputs such as…

Computer Vision and Pattern Recognition · Computer Science 2020-10-20 Bo Yang

As the significance of simulation in medical care and intervention continues to grow, it is anticipated that a simplified and low-cost platform can be set up to execute personalized diagnoses and treatments. 3D Slicer can not only perform…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Ruijie Tang , Beilei Cui , Hongliang Ren

This paper describes a novel approach for generating accurate floor plans and 3D models of building interiors using scanned mesh data. Unlike previous methods, which begin with a high resolution point cloud from a laser range-finder, our…

Graphics · Computer Science 2023-12-29 Ritesh Sharma , Eric Bier , Lester Nelson , Mahabir Bhandari , Niraj Kunwar

3D human motion prediction, predicting future poses from a given sequence, is an issue of great significance and challenge in computer vision and machine intelligence, which can help machines in understanding human behaviors. Due to the…

Computer Vision and Pattern Recognition · Computer Science 2022-03-08 Kedi Lyu , Haipeng Chen , Zhenguang Liu , Beiqi Zhang , Ruili Wang

Industrial cone-beam X-ray computed tomography (CT) scans of additively manufactured components produce a 3D reconstruction from projection measurements acquired at multiple predetermined rotation angles of the component about a single…

Image and Video Processing · Electrical Eng. & Systems 2024-07-19 Jingsong Lin , Singanallur Venkatakrishnan , Gregery Buzzard , Amir Koushyar Ziabari , Charles Bouman

Synthesis and reconstruction of 3D human head has gained increasing interests in computer vision and computer graphics recently. Existing state-of-the-art 3D generative adversarial networks (GANs) for 3D human head synthesis are either…

Computer Vision and Pattern Recognition · Computer Science 2023-03-24 Sizhe An , Hongyi Xu , Yichun Shi , Guoxian Song , Umit Ogras , Linjie Luo

Generating realistic and controllable 3D human avatars is a long-standing challenge, particularly when covering broad attribute ranges such as ethnicity, age, clothing styles, and detailed body shapes. Capturing and annotating large-scale…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Yuxuan Xue , Xianghui Xie , Margaret Kostyrko , Gerard Pons-Moll

We present a novel design of 3D spectrometer that can retrieve 3D spectral profile in a single measurement. The 3D spectrometer design is built upon the concept of compressed sensing to make it possible to retrieve 3D information from 2D…

Instrumentation and Detectors · Physics 2018-02-05 Muhammad Firmansyah Kasim , Peter Norreys
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