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

Author(s):  
Hang Yu ◽  
Chilam Cheang ◽  
Yanwei Fu ◽  
Xiangyang Xue
Author(s):  
Enrique Hernández Murillo ◽  
Gonzalo López Nicolás ◽  
Rosario Aragüés

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.


Author(s):  
Xin Yang ◽  
Yuanbo Wang ◽  
Yaru Wang ◽  
Baocai Yin ◽  
Qiang Zhang ◽  
...  

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.


Author(s):  
Daniek Joubert

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.


Author(s):  
John Bosco Habarulema ◽  
Daniel Okoh ◽  
Dalia Burešová ◽  
Babatunde Rabiu ◽  
Mpho Tshisaphungo ◽  
...  

Author(s):  
GuoLong Zhang

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.


IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 110-121
Author(s):  
Ahmed J. Afifi ◽  
Jannes Magnusson ◽  
Toufique A. Soomro ◽  
Olaf Hellwich

2021 ◽  
Vol 423 ◽  
pp. 407-418
Author(s):  
Bo Peng ◽  
Wei Wang ◽  
Jing Dong ◽  
Tieniu Tan

2021 ◽  
Vol 13 (3) ◽  
pp. 530
Author(s):  
Junjun Yin ◽  
Jian Yang

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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