HandO: a hybrid 3D hand–object reconstruction model for unknown objects

2022 ◽  
Author(s):  
Hang Yu ◽  
Chilam Cheang ◽  
Yanwei Fu ◽  
Xiangyang Xue
Keyword(s):  
Object Reconstruction ◽  
Unknown Objects ◽  
Reconstruction Model

scholarly journals Volumetric Object Reconstruction in Multi-Camera Scenarios

2019 ◽  
Vol 7 ◽  
Author(s):  
Enrique Hernández Murillo ◽  
Gonzalo López Nicolás ◽  
Rosario Aragüés
Keyword(s):  
3D Model ◽  
Field Of View ◽  
Robotic Manipulation ◽  
Object Reconstruction ◽  
Volumetric Reconstruction ◽  
Unknown Objects

Volumetric reconstruction of unknown objects is essential in robotic manipulation. Building the 3D model requires a set of views so we consider a multi-camera scenario. We study an effective configuration strategy to address camera constraints such as the limited field of view or self-occlusions.

scholarly journals Active Object Reconstruction Using a Guided View Planner

2018 ◽  
Author(s):  
Xin Yang ◽  
Yuanbo Wang ◽  
Yaru Wang ◽  
Baocai Yin ◽  
Qiang Zhang ◽  
...  
Keyword(s):  
Information Acquisition ◽  
3D Model ◽  
Alternative Methods ◽  
Active Object ◽  
Reconstruction Accuracy ◽  
Object Reconstruction ◽  
View Planning ◽  
Aggregate Information ◽  
Active Reconstruction ◽  
Reconstruction Model

Inspired by the recent advance of image-based object reconstruction using deep learning, we present an active reconstruction model using a guided view planner. We aim to reconstruct a 3D model using images observed from a planned sequence of informative and discriminative views. But where are such informative and discriminative views around an object? To address this we propose a unified model for view planning and object reconstruction, which is utilized to learn a guided information acquisition model and to aggregate information from a sequence of images for reconstruction. Experiments show that our model (1) increases our reconstruction accuracy with an increasing number of views (2) and generally predicts a more informative sequence of views for object reconstruction compared to other alternative methods.

scholarly journals Object reconstruction from multiple uncontrolled viewpoints

2011 ◽  
Vol 30 (1) ◽  
Author(s):  
Daniek Joubert
Keyword(s):  
Bundle Adjustment ◽  
Camera Motion ◽  
Multiple Views ◽  
Object Reconstruction ◽  
Feature Based ◽  
Unknown Objects

We present a feature-based approach to reconstruct unknown objects in 3D, using only a sequence of images from multiple views. The camera motion between consecutive images is estimated and a reconstruction is obtained by triangulation. This approach is susceptible to errors, and we investigate bundle adjustment as a viable remedy.

A global 3-D electron density reconstruction model based on radio occultation data and neural networks

2021 ◽  
pp. 105702
Author(s):  
John Bosco Habarulema ◽  
Daniel Okoh ◽  
Dalia Burešová ◽  
Babatunde Rabiu ◽  
Mpho Tshisaphungo ◽  
...  
Keyword(s):  
Neural Networks ◽  
Electron Density ◽  
Radio Occultation ◽  
Model Based ◽  
Occultation Data ◽  
Reconstruction Model ◽  
Radio Occultation Data

Research on the application of 3D reconstruction technology in traditional handicraft design

2021 ◽  
pp. 002072092110052
Author(s):  
GuoLong Zhang
Keyword(s):  
Poisson Equation ◽  
Optimization Algorithm ◽  
Three Dimensional ◽  
Reconstruction Algorithm ◽  
Social Production ◽  
Design Constraint ◽  
Reconstruction Process ◽  
Key Steps ◽  
Shielding Design ◽  
Reconstruction Model

The use of computer technology for three-dimensional (3 D) reconstruction is one of the important development directions of social production. The purpose is to find a new method that can be used in traditional handicraft design, and to explore the application of 3 D reconstruction technology in it. Based on the description and analysis of 3 D reconstruction technology, the 3 D reconstruction algorithm based on Poisson equation is analyzed, and the key steps and problems of the method are clarified. Then, by introducing the shielding design constraint, a 3 D reconstruction algorithm based on shielded Poisson equation is proposed. Finally, the performance of two algorithms is compared by reconstructing the 3 D image of rabbit. The results show that: when the depth value of the algorithm is 11, the surface of the rabbit image obtained by the proposed optimization algorithm is smoother, and the details are more delicate and fluent; under different depth values, with the increase of the depth value, the number of vertices and faces of the two algorithms increase, and the optimal depth values of 3 D reconstruction are more than 8. However, the proposed optimization algorithm has more vertices, and performs better in the reconstruction process; the larger the depth value is, the more time and memory are consumed in 3 D reconstruction, so it is necessary to select the appropriate depth value; the shielding parameters of the algorithm have a great impact on the fineness of the reconstruction model. The larger the parameter is, the higher the fineness is. In a word, the proposed 3 D reconstruction algorithm based on shielded Poisson equation has better practicability and superiority.

scholarly journals Pixel2point: 3D Object Reconstruction From a Single Image Using CNN and Initial Sphere

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 110-121
Author(s):  
Ahmed J. Afifi ◽  
Jannes Magnusson ◽  
Toufique A. Soomro ◽  
Olaf Hellwich
Keyword(s):  
Single Image ◽  
Object Reconstruction ◽  
3D Object ◽  
3D Object Reconstruction

scholarly journals Learning pose-invariant 3D object reconstruction from single-view images

2021 ◽  
Vol 423 ◽  
pp. 407-418
Author(s):  
Bo Peng ◽  
Wei Wang ◽  
Jing Dong ◽  
Tieniu Tan
Keyword(s):  
Object Reconstruction ◽  
3D Object ◽  
Single View ◽  
3D Object Reconstruction

scholarly journals Framework for Reconstruction of Pseudo Quad Polarimetric Imagery from General Compact Polarimetry

2021 ◽  
Vol 13 (3) ◽  
pp. 530
Author(s):  
Junjun Yin ◽  
Jian Yang
Keyword(s):  
Linear Equations ◽  
Estimation Method ◽  
Data Sets ◽  
Reconstruction Procedure ◽  
Component Decomposition ◽  
Reconstruction Methods ◽  
Sar Imagery ◽  
Key Aspects ◽  
Non Linear Equations ◽  
Reconstruction Model

Pseudo quad polarimetric (quad-pol) image reconstruction from the hybrid dual-pol (or compact polarimetric (CP)) synthetic aperture radar (SAR) imagery is a category of important techniques for radar polarimetric applications. There are three key aspects concerned in the literature for the reconstruction methods, i.e., the scattering symmetric assumption, the reconstruction model, and the solving approach of the unknowns. Since CP measurements depend on the CP mode configurations, different reconstruction procedures were designed when the transmit wave varies, which means the reconstruction procedures were not unified. In this study, we propose a unified reconstruction framework for the general CP mode, which is applicable to the mode with an arbitrary transmitted ellipse wave. The unified reconstruction procedure is based on the formalized CP descriptors. The general CP symmetric scattering model-based three-component decomposition method is also employed to fit the reconstruction model parameter. Finally, a least squares (LS) estimation method, which was proposed for the linear π/4 CP data, is extended for the arbitrary CP mode to estimate the solution of the system of non-linear equations. Validation is carried out based on polarimetric data sets from both RADARSAT-2 (C-band) and ALOS-2/PALSAR (L-band), to compare the performances of reconstruction models, methods, and CP modes.

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