Collaborative Large-Scale Dense 3D Reconstruction with Online Inter-Agent Pose Optimisation
نویسندگان
چکیده
منابع مشابه
Collaborative Large-Scale Dense 3D Reconstruction with Online Inter-Agent Pose Optimisation
Reconstructing dense, volumetric models of real-world 3D scenes is important for many tasks, but capturing large scenes can take significant time, and the risk of transient changes to the scene goes up as the capture time increases. These are good reasons to want instead to capture several smaller sub-scenes that can be joined to make the whole scene. Achieving this has traditionally been diffi...
متن کاملReal-Time Large-Scale Dense 3D Reconstruction with Loop Closure
In the highly active research field of dense 3D reconstruction and modelling, loop closure is still a largely unsolved problem. While a number of previous works show how to accumulate keyframes, globally optimize their pose on closure, and compute a dense 3D model as a post-processing step, in this paper we propose an online framework which delivers a consistent 3D model to the user in real tim...
متن کاملLarge-Scale Dense 3D Reconstruction from Stereo Imagery
In this paper we propose a novel method for largescale dense 3D reconstruction from stereo imagery. Assuming that stereo camera calibration and camera motion are known, our method is able to reconstruct accurately dense 3D models of urban environments in the form of point clouds. We take advantage of recent stereo matching techniques that are able to build dense and accurate disparity maps from...
متن کاملLarge-scale Multiview 3D Hand Pose Dataset
Accurate hand pose estimation at joint level has several uses on human-robot interaction, user interfacing and virtual reality applications. Yet, it currently is not a solved problem. The novel deep learning techniques could make a great improvement on this matter but they need a huge amount of annotated data. The hand pose datasets released so far present some issues that make them impossible ...
متن کاملUnfolding large-scale online collaborative human dynamics
Large-scale interacting human activities underlie all social and economic phenomena, but quantitative understanding of regular patterns and mechanism is very challenging and still rare. Self-organized online collaborative activities with a precise record of event timing provide unprecedented opportunity. Our empirical analysis of the history of millions of updates in Wikipedia shows a universal...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Visualization and Computer Graphics
سال: 2018
ISSN: 1077-2626,1941-0506,2160-9306
DOI: 10.1109/tvcg.2018.2868533