3D-RVP: A method for 3D object reconstruction from a single depth view using voxel and point
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.10.097
Abstract: Abstract Three-dimensional object reconstruction technology has a wide range of applications such as augment reality, virtual reality, industrial manufacturing and intelligent robotics. Although deep learning-based 3D object reconstruction technology has developed rapidly in recent years,… read more here.
Keywords: reconstruction; depth view; method; point ... See more keywords
ORKA: Object reconstruction using a K-approximation graph
Sign Up to like & getrecommendations! Published in 2022 at "Inverse Problems"
DOI: 10.1088/1361-6420/aca046
Abstract: Data processing has to deal with many practical difficulties. Data is often corrupted by artifacts or noise and acquiring data can be expensive and difficult. Thus, the given data is often incomplete and inaccurate. To… read more here.
Keywords: approximation graph; approximation; orka object; object reconstruction ... See more keywords
CuFusion2: Accurate and Denoised Volumetric 3D Object Reconstruction Using Depth Cameras
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2911119
Abstract: The 3D object reconstruction from depth image streams using Kinect-style depth cameras has been extensively studied. In this paper, we propose an approach for accurate camera tracking and volumetric dense surface reconstruction, assuming that a… read more here.
Keywords: reconstruction; depth cameras; cufusion2 accurate; object reconstruction ... See more keywords
Oriented and Directional Chamfer Distance Losses for 3D Object Reconstruction From a Single Image
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3179109
Abstract: The application of deep learning in the field of 3D reconstruction has greatly improved the quality of 3D object reconstruction. For methods that take the point cloud as supervision information, previous research has mainly focused… read more here.
Keywords: information; directional chamfer; object reconstruction; distance ... See more keywords
Force-Based Simultaneous Mapping and Object Reconstruction for Robotic Manipulation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3152244
Abstract: This letter presents an algorithm to simultaneously reconstruct the geometry of an unknown object and its environment via physical interactions. Applications involving highly cluttered or occluded workspaces prevent the effective use of vision. To address… read more here.
Keywords: object reconstruction; mapping object; geometry; force based ... See more keywords
Roadside HD Map Object Reconstruction Using Monocular Camera
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3185367
Abstract: The traditional HD map production based on mapping vehicles equipped with expensive sensors (e.g. LiDAR) struggles to keep the frequently changing HD maps up-to-date, thus calling for great research efforts in the HD map reconstruction… read more here.
Keywords: object reconstruction; roadside; reconstruction; reconstruction using ... See more keywords
Dense 3D Object Reconstruction from a Single Depth View
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2018.2868195
Abstract: In this paper, we propose a novel approach, 3D-RecGAN++, which reconstructs the complete 3D structure of a given object from a single arbitrary depth view using generative adversarial networks. Unlike existing work which typically requires… read more here.
Keywords: mml; view; depth view; object reconstruction ... See more keywords