English
Related papers

Related papers: MobileBrick: Building LEGO for 3D Reconstruction o…

200 papers

Despite the growing need for data of more and more sophisticated 3D reconstruction pipelines, we can still observe a scarcity of suitable public datasets. Existing 3D datasets are either low resolution, limited to a small amount of scenes,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Mattia D'Urso , Yuxi Hu , Christian Sormann , Mattia Rossi , Friedrich Fraundorfer

Motivated by the growing demand for interactive environments, we propose an accurate real-time 3D shape reconstruction technique. To provide a reliable 3D reconstruction which is still a challenging task when dealing with real-world…

Computer Vision and Pattern Recognition · Computer Science 2018-02-20 Maryam Khanian , Ali Sharifi Boroujerdi , Michael Breuss

Reconstructing accurate 3D surfaces for street-view scenarios is crucial for applications such as digital entertainment and autonomous driving simulation. However, existing street-view datasets, including KITTI, Waymo, and nuScenes, only…

Computer Vision and Pattern Recognition · Computer Science 2024-11-08 Yubin Hu , Kairui Wen , Heng Zhou , Xiaoyang Guo , Yong-Jin Liu

Recent advances have enabled 3d object reconstruction approaches using a single off-the-shelf RGB-D camera. Although these approaches are successful for a wide range of object classes, they rely on stable and distinctive geometric or…

Computer Vision and Pattern Recognition · Computer Science 2017-04-04 Dimitrios Tzionas , Juergen Gall

3D reconstruction serves as the foundational layer for numerous robotic perception tasks, including 6D object pose estimation and grasp pose generation. Modern 3D reconstruction methods for objects can produce visually and geometrically…

Robotics · Computer Science 2026-02-20 Varun Burde , Pavel Burget , Torsten Sattler

We introduce a new RGB-D object dataset captured in the wild called WildRGB-D. Unlike most existing real-world object-centric datasets which only come with RGB capturing, the direct capture of the depth channel allows better 3D annotations…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Hongchi Xia , Yang Fu , Sifei Liu , Xiaolong Wang

While data has certainly taken the center stage in computer vision in recent years, it can still be difficult to obtain in certain scenarios. In particular, acquiring ground truth 3D shapes of objects pictured in 2D images remains a…

Computer Vision and Pattern Recognition · Computer Science 2016-08-02 Joao Carreira , Sara Vicente , Lourdes Agapito , Jorge Batista

We present a technique for a complete 3D reconstruction of small objects moving in front of a textured background. It is a particular variation of multibody structure from motion, which specializes to two objects only. The scene is captured…

Computer Vision and Pattern Recognition · Computer Science 2021-05-25 Petr Hruby , Tomas Pajdla

What's the most accurate 3D model of your face you can obtain while sitting at your desk? We attempt to answer this question in our work. High fidelity face reconstructions have so far been limited to either studio settings or through…

Computer Vision and Pattern Recognition · Computer Science 2020-03-20 Shubham Agrawal , Anuj Pahuja , Simon Lucey

Our brain has an inner global positioning system which enables us to sense and navigate 3D spaces in real time. Can mobile robots replicate such a biological feat in a dynamic environment? We introduce the first spatial reasoning framework…

Robotics · Computer Science 2025-05-20 Pengdi Huang , Mingyang Wang , Huan Tian , Minglun Gong , Hao Zhang , Hui Huang

Recently, 3D version has been improved greatly due to the development of deep neural networks. A high quality dataset is important to the deep learning method. Existing datasets for 3D vision has been constructed, such as Bigbird and YCB.…

Computer Vision and Pattern Recognition · Computer Science 2020-11-18 Minglei Lu , Yu Guo , Fei Wang , Zheng Dang

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…

Computer Vision and Pattern Recognition · Computer Science 2026-03-19 James L. Gray , Nikolai Goncharov , Alexandre Cardaillac , Ryan Griffiths , Jack Naylor , Donald G. Dansereau

Recent advancements in 3D robotic manipulation have improved grasping of everyday objects, but transparent and specular materials remain challenging due to depth sensing limitations. While several 3D reconstruction and depth completion…

Robotics · Computer Science 2025-06-23 Mingxu Zhang , Xiaoqi Li , Jiahui Xu , Kaichen Zhou , Hojin Bae , Yan Shen , Chuyan Xiong , Hao Dong

Visual understanding of geometric structures with complex spatial relationships is a fundamental component of human intelligence. As children, we learn how to reason about structure not only from observation, but also by interacting with…

Computer Vision and Pattern Recognition · Computer Science 2022-07-29 Aaron Walsman , Muru Zhang , Klemen Kotar , Karthik Desingh , Ali Farhadi , Dieter Fox

Humans build 3D understandings of the world through active object exploration, using jointly their senses of vision and touch. However, in 3D shape reconstruction, most recent progress has relied on static datasets of limited sensory data…

Computer Vision and Pattern Recognition · Computer Science 2021-10-27 Edward J. Smith , David Meger , Luis Pineda , Roberto Calandra , Jitendra Malik , Adriana Romero , Michal Drozdzal

We propose a system to capture nearly-synchronous frame streams from multiple and moving handheld mobiles that is suitable for dynamic object 3D reconstruction. Each mobile executes Simultaneous Localisation and Mapping on-board to estimate…

Multimedia · Computer Science 2021-03-23 M. Bortolon , L. Bazzanella , F. Poiesi

Creating accurate 3D models of tree topology is an important task for tree pruning. The 3D model is used to decide which branches to prune and then to execute the pruning cuts. Previous methods for creating 3D tree models have typically…

Robotics · Computer Science 2024-06-19 Alexander You , Aarushi Mehta , Luke Strohbehn , Jochen Hemming , Cindy Grimm , Joseph R. Davidson

Reflective and textureless surfaces such as windows, mirrors, and walls can be a challenge for object and scene reconstruction. These surfaces are often poorly reconstructed and filled with depth discontinuities and holes, making it…

Computer Vision and Pattern Recognition · Computer Science 2021-10-07 Justin Wilson , Nicholas Rewkowski , Ming C. Lin , Henry Fuchs

Although LEGO sets have entertained generations of children and adults, the challenge of designing customized builds matching the complexity of real-world or imagined scenes remains too great for the average enthusiast. In order to make…

Computer Vision and Pattern Recognition · Computer Science 2021-08-20 Kyle Lennon , Katharina Fransen , Alexander O'Brien , Yumeng Cao , Matthew Beveridge , Yamin Arefeen , Nikhil Singh , Iddo Drori

Recent advancements in 3D object reconstruction from single images have primarily focused on improving the accuracy of object shapes. Yet, these techniques often fail to accurately capture the inter-relation between the object, ground, and…

Computer Vision and Pattern Recognition · Computer Science 2024-07-29 Yunze Man , Yichen Sheng , Jianming Zhang , Liang-Yan Gui , Yu-Xiong Wang