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Multiview Rectification of Folded Documents [article]

Shaodi You, Yasuyuki Matsushita, Sudipta Sinha, Yusuke Bou and Katsushi Ikeuchi
2016 arXiv   pre-print
Our main contribution is a new robust rectification method based on ridge-aware 3D reconstruction of a paper sheet and unwrapping the reconstructed surface using properties of developable surfaces via  ...  This paper presents a method for automatically rectifying curved or folded paper sheets from a few images captured from multiple viewpoints.  ...  Our technique recovers a ridge-aware 3D reconstruction of the document surface from a sparse 3D point cloud.  ... 
arXiv:1606.00166v1 fatcat:ulwkig5ug5ed7iknvtjevx75ee

Probabilistic 3D surface reconstruction from sparse MRI information [article]

Katarína Tóthová, Sarah Parisot, Matthew Lee, Esther Puyol-Antón, Andrew King, Marc Pollefeys, Ender Konukoglu
2020 arXiv   pre-print
In this paper, we present a novel probabilistic deep learning approach for concurrent 3D surface reconstruction from sparse 2D MR image data and aleatoric uncertainty prediction.  ...  Surface reconstruction from magnetic resonance (MR) imaging data is indispensable in medical image analysis and clinical research.  ...  In this paper, we propose a novel probabilistic model for 3D surface reconstruction from MRI data that jointly addresses high resolution accurate reconstruction, sparse input data constraints and aleatoric  ... 
arXiv:2010.02041v1 fatcat:rkyfsqzkjzekrd6kql37vmeohq

DSP-SLAM: Object Oriented SLAM with Deep Shape Priors [article]

Jingwen Wang, Martin Rünz, Lourdes Agapito
2021 arXiv   pre-print
high-quality full object reconstructions, even from partial observations, while maintaining a consistent global map.  ...  DSP-SLAM takes as input the 3D point cloud reconstructed by a feature-based SLAM system and equips it with the ability to enhance its sparse map with dense reconstructions of detected objects.  ...  Conclusions We have presented DSP-SLAM, a new object-aware real-time SLAM system that exploits deep shape priors for object reconstruction, produces a joint map of sparse Figure 7 : Object reconstruction  ... 
arXiv:2108.09481v2 fatcat:2cxcoerz6vfjnkju5oskhxxuie

Structure-Aware Shape Synthesis [article]

Elena Balashova, Vivek Singh, Jiangping Wang, Brian Teixeira, Terrence Chen, Thomas Funkhouser
2018 arXiv   pre-print
We propose a new procedure to guide training of a data-driven shape generative model using a structure-aware loss function.  ...  Complex 3D shapes often can be summarized using a coarsely defined structure which is consistent and robust across variety of observations.  ...  Input Shape Shape Only Structure Aware Figure 7 : 3D reconstruction evaluation on synthetic data of the shape only and structure-aware methods.  ... 
arXiv:1808.01427v1 fatcat:gj5l2k5jfbfunl2afvedp6msre

ANISE: Assembly-based Neural Implicit Surface rEconstruction [article]

Dmitry Petrov, Matheus Gadelha, Radomir Mech, Evangelos Kalogerakis
2022 arXiv   pre-print
We present ANISE, a method that reconstructs a 3D shape from partial observations (images or sparse point clouds) using a part-aware neural implicit shape representation.  ...  The part implicit functions can then be combined into a single, coherent shape, enabling part-aware shape reconstructions from images and point clouds.  ...  We present ANISE, a method that reconstructs a 3D shape from partial observations (images or sparse point clouds) using a part-aware neural implicit shape representation.  ... 
arXiv:2205.13682v1 fatcat:73xrvfyeeffd3ijkpo3vckttii

FroDO: From Detections to 3D Objects

Martin Runz, Kejie Li, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard Newcombe
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Results on a real-world sequence from ScanNet [7].  ...  Figure 1: Given a localized input RGB sequence, FroDO dectects objects and infers their pose and a progressively fine grained and expressive object shape representation.  ...  Pillai and Leonard [34] aggregate multiview detections to perform SLAM-aware object recognition and semi-dense reconstruction, while [31] fit per-object 3D quadric surfaces.  ... 
doi:10.1109/cvpr42600.2020.01473 dblp:conf/cvpr/RunzLTMKS0ASLN20 fatcat:rax2vea64nbdhlreuauajyqebi

Iterative cage-based registration from multi-view silhouettes

Yann Savoye
2013 Proceedings of the 10th European Conference on Visual Media Production - CVMP '13  
Consistent dynamic shape capture from casual videos is a fundamental task at the cross-fertilization of Computer Vision and Computer Graphics.  ...  Thus, we perform scalable handle-aware harmonic shape registration, relying on the higher-level of shape abstraction offered by the space-based paradigm.  ...  Voxel-based shape obtained from sparse set of 8 converging multi-view silhouettes (b). Watertight surface reconstruction (c) and surface optimization (d) reprojected in casual images.  ... 
doi:10.1145/2534008.2534010 dblp:conf/cvmp/Savoye13 fatcat:l3xg24wrafe7fg5bqogr65m25u

FroDO: From Detections to 3D Objects [article]

Kejie Li, Martin Rünz, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard Newcombe
2020 arXiv   pre-print
We introduce FroDO, a method for accurate 3D reconstruction of object instances from RGB video that infers object location, pose and shape in a coarse-to-fine manner.  ...  A shape code is regressed using an encoder network before optimizing shape and pose further under the learnt shape priors using sparse and dense shape representations.  ...  Pillai and Leonard [34] aggregate multiview detections to perform SLAM-aware object recognition and semi-dense reconstruction, while [31] fit per-object 3D quadric surfaces.  ... 
arXiv:2005.05125v1 fatcat:ein67ktbl5bcla5l3kizbstjee

Shape-aware surface reconstruction from sparse 3D point-clouds

Florian Bernard, Luis Salamanca, Johan Thunberg, Alexander Tack, Dennis Jentsch, Hans Lamecker, Stefan Zachow, Frank Hertel, Jorge Goncalves, Peter Gemmar
2017 Medical Image Analysis  
The reconstruction of an object's shape or surface from a set of 3D points plays an important role in medical image analysis, e.g. in anatomy reconstruction from tomographic measurements or in the process  ...  Estimating the parameters of the GMM in a maximum a posteriori manner yields the reconstruction of the surface from the given data points.  ...  Conclusion and Outlook In this paper we have presented a methodology for a shape-aware surface reconstruction from sparse surface points.  ... 
doi:10.1016/j.media.2017.02.005 pmid:28282642 fatcat:3ouyknbrgbcjfawa3een5ecv74

DSP-SLAM: Object Oriented SLAM with Deep Shape Priors

Jingwen Wang, Martin Runz, Lourdes Agapito
2021 2021 International Conference on 3D Vision (3DV)  
Figure 1: DSP-SLAM builds a rich object-aware map, providing complete detailed shapes of detected objects, while representing the background coarsely as sparse feature points.  ...  Reconstructed map and camera trajectory on KITTI 00.  ...  Conclusions We have presented DSP-SLAM, a new object-aware real-time SLAM system that exploits deep shape priors for object reconstruction, produces a joint map of sparse point features for the background  ... 
doi:10.1109/3dv53792.2021.00143 fatcat:zle434gjcvaatklyfrt7dyhzze

Detail-Preserving and Content-Aware Variational Multi-View Stereo Reconstruction

Zhaoxin Li, Kuanquan Wang, Wangmeng Zuo, Deyu Meng, Lei Zhang
2016 IEEE Transactions on Image Processing  
Accurate recovery of 3D geometrical surfaces from calibrated 2D multi-view images is a fundamental yet active research area in computer vision.  ...  To address these limitations, this paper presents a Detail-preserving and Content-aware Variational (DCV) multi-view stereo method, which reconstructs the 3D surface by alternating between reprojection  ...  The dictionary-based sparse model is then used for surface reconstruction from point cloud.  ... 
doi:10.1109/tip.2015.2507400 pmid:26672037 fatcat:ekppv2ew3bfczl4kfxprug2fuy

Author Index

2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
Outlier Model Increasing Depth Resolution of Electron Microscopy of Neural Circuits using Sparse Tomographic Reconstruction Fast Directional Chamfer Matching Specular Surface Reconstruction from Sparse  ...  Simultaneous Pose, Correspondence and Non-Rigid Shape Surface Color Estimation Based on Inter-and Intra-Pixel Relationships in Outdoor Scenes Tal, Ayellet Context-Aware Saliency Detection Talbot,  ... 
doi:10.1109/cvpr.2010.5539913 fatcat:y6m5knstrzfyfin6jzusc42p54

Reconstruction of People in Loose Clothing [article]

Sai Sagar Jinka, Rohan Chacko, Astitva Srivastava, Avinash Sharma, P.J. Narayanan
2021 arXiv   pre-print
3D human body reconstruction from monocular images is an interesting and ill-posed problem in computer vision with wider applications in multiple domains.  ...  We propose a sparse and efficient fusion of a parametric body prior with a non-parametric peeled depth map representation of clothed models.  ...  Conclusion We introduced a novel shape-aware peeled representation for the reconstruction of human bodies with loose clothing.  ... 
arXiv:2106.04778v3 fatcat:5as3byi76ve5tez6qzio3mwb7y

Interactive topology-aware surface reconstruction

Andrei Sharf, Thomas Lewiner, Gil Shklarski, Sivan Toledo, Daniel Cohen-Or
2007 ACM Transactions on Graphics  
Abstract The reconstruction of a complete watertight model from scan data is still a difficult process.  ...  In particular, since scanned data is often incomplete, the reconstruction of the expected shape is an illposed problem.  ...  This work was partly supported by a grant from the Israeli Ministry of Science, and from the Brazilian Ministry of Science and Technology (MCT/CNPq 02/2006).  ... 
doi:10.1145/1239451.1239494 fatcat:bpim6bzjw5gm5ogpmtsrdtrkou

RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds [article]

Bing Wang, Zhengdi Yu, Bo Yang, Jie Qin, Toby Breckon, Ling Shao, Niki Trigoni, Andrew Markham
2022 arXiv   pre-print
Being different from the existing unsigned distance fields, our framework does not suffer from any surface ambiguity.  ...  The key to our approach is a range-aware unsigned distance function together with a surface-oriented semantic segmentation module.  ...  As shown in these two tables, we additionally explore the impact of color and surface point density on the performance of surface reconstruction and semantic segmentation.  ... 
arXiv:2204.09138v1 fatcat:ncjyo32qbzd33a6yw6zx4cxsje
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