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Novel view synthesis (NVS) enables to generate new images of a scene or convert a set of 2D images into a comprehensive 3D model. In the context of Space Domain Awareness, since space is becoming increasingly congested, NVS can accurately…

计算机视觉与模式识别 · 计算机科学 2024-10-08 Nidhi Mathihalli , Audrey Wei , Giovanni Lavezzi , Peng Mun Siew , Victor Rodriguez-Fernandez , Hodei Urrutxua , Richard Linares

Monitoring space objects is crucial for space situational awareness, yet reconstructing 3D satellite models from ground-based telescope images is challenging due to atmospheric turbulence, long observation distances, limited viewpoints, and…

计算机视觉与模式识别 · 计算机科学 2025-08-18 Zhiming Chang , Boyang Liu , Yifei Xia , Youming Guo , Boxin Shi , He Sun

Small Unmanned Aerial Vehicles (UAVs) exhibit immense potential for navigating indoor and hard-to-reach areas, yet their significant constraints in payload and autonomy have largely prevented their use for complex tasks like high-quality…

Asset management requires accurate 3D models to inform the maintenance, repair, and assessment of buildings, maritime vessels, and other key structures as they age. These downstream applications rely on high-fidelity models produced from…

计算机视觉与模式识别 · 计算机科学 2026-03-19 James L. Gray , Nikolai Goncharov , Alexandre Cardaillac , Ryan Griffiths , Jack Naylor , Donald G. Dansereau

Planetary exploration increasingly relies on autonomous robotic systems capable of perceiving, interpreting, and reconstructing their surroundings in the absence of global positioning or real-time communication with Earth. Rovers operating…

This work tackles 3D scene reconstruction for a video fly-over perspective problem in the maritime domain, with a specific emphasis on geometrically and visually sound reconstructions. This will allow for downstream tasks such as…

计算机视觉与模式识别 · 计算机科学 2025-03-04 Rui Yi Yong , Samuel Picosson , Arnold Wiliem

We explore the potential of our novel triaxial modeling machinery in recovering the viewing angles, the shape and the orbit distribution of galaxies by using a high-resolution $N$-body merger simulation. Our modelling technique includes…

星系天体物理 · 物理学 2022-11-22 Stefano de Nicola , Bianca Neureiter , Jens Thomas , Roberto P. Saglia , Ralf Bender

While three-dimensional imaging is essential for clinical diagnosis, its high cost and long wait times have motivated the use of image-to-3D foundation models to infer volume from two-dimensional modalities. However, because these models…

计算机视觉与模式识别 · 计算机科学 2026-03-03 Yan Luo , Advaith Ravishankar , Serena Liu , Yutong Yang , Mengyu Wang

The increasing miniaturization of Unmanned Aerial Vehicles (UAVs) has expanded their deployment potential to indoor and hard-to-reach areas. However, this trend introduces distinct challenges, particularly in terms of flight dynamics and…

Sparse-view satellite image surface reconstruction remains highly challenging, fundamentally because the reliability of multi-view matching under satellite imaging conditions is strongly spatially heterogeneous. Affected by large…

计算机视觉与模式识别 · 计算机科学 2026-05-11 Min Chen , Wei Guo , Bin Wang , Wen Li , Tong Fang , Jinbo Zhang , Junqi Zhao , Hong Kuang , Han Hu , Xuming Ge , Qing Zhu , Bo Xu

Unmanned aerial vehicles (UAVs) are widely used platforms to carry data capturing sensors for various applications. The reason for this success can be found in many aspects: the high maneuverability of the UAVs, the capability of performing…

计算机视觉与模式识别 · 计算机科学 2023-05-18 Mehdi Maboudi , MohammadReza Homaei , Soohwan Song , Shirin Malihi , Mohammad Saadatseresht , Markus Gerke

In this report, we present Hunyuan3D 2.5, a robust suite of 3D diffusion models aimed at generating high-fidelity and detailed textured 3D assets. Hunyuan3D 2.5 follows two-stages pipeline of its previous version Hunyuan3D 2.0, while…

Characterization of uncooperative Resident Space Objects (RSO) play a crucial role in On-Orbit Servicing (OOS) and Active Debris Removal (ADR) missions to assess the geometry and motion properties. To address the challenges of…

Monocular 3D building reconstruction from remote sensing imagery is essential for scalable urban modeling, yet existing methods often require task-specific architectures and intensive supervision. This paper presents the first systematic…

计算机视觉与模式识别 · 计算机科学 2025-12-30 Junsheng Yao , Lichao Mou , Qingyu Li

Inspired by the recent success of methods that employ shape priors to achieve robust 3D reconstructions, we propose a novel recurrent neural network architecture that we call the 3D Recurrent Reconstruction Neural Network (3D-R2N2). The…

计算机视觉与模式识别 · 计算机科学 2016-04-05 Christopher B. Choy , Danfei Xu , JunYoung Gwak , Kevin Chen , Silvio Savarese

Resourcesat-3S/3SA, an upcoming Indian satellite, is designed with Aft and Fore payloads capturing stereo images at look angles of -5deg and 26deg, respectively. Operating at 632.6 km altitude, it features a panchromatic (PAN) band offering…

图像与视频处理 · 电气工程与系统科学 2024-11-01 Ankur Garg , Meenakshi Sarkar , S. M. Moorthi , Debajyoti Dhar

In this study, we present an end-to-end pipeline capable of converting drone-captured video streams into high-fidelity 3D reconstructions with minimal latency. Unmanned aerial vehicles (UAVs) are extensively used in aerial real-time…

计算机视觉与模式识别 · 计算机科学 2026-02-25 Christos Maikos , Georgios Angelidis , Georgios Th. Papadopoulos

Three-dimensional (3D) Ultrasound (US) can facilitate diagnosis, treatment planning, and image-guided therapy. However, current studies rarely provide a comprehensive evaluation of volumetric accuracy and reproducibility, highlighting the…

计算机视觉与模式识别 · 计算机科学 2026-03-23 Lewis Howell , Manisha Waterston , Tze Min Wah , James H. Chandler , James R. McLaughlan

Recent advancements in radiance field rendering, exemplified by Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS), have significantly progressed 3D modeling and reconstruction. The use of multiple 360-degree omnidirectional…

计算机视觉与模式识别 · 计算机科学 2025-05-27 Shintaro Ito , Natsuki Takama , Toshiki Watanabe , Koichi Ito , Hwann-Tzong Chen , Takafumi Aoki
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