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Multiview Rectification of Folded Documents
[article]
2016
arXiv
pre-print
Preserved Fulltext
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]
2020
arXiv
pre-print
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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]
2021
arXiv
pre-print
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2021 pre-print arXiv:2108.09481v1 fatcat:qljs6c3mz5hevb52ei3begrhra
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]
2018
arXiv
pre-print
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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]
2022
arXiv
pre-print
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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
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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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
2013
Proceedings of the 10th European Conference on Visual Media Production - CVMP '13
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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]
2020
arXiv
pre-print
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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
2017
Medical Image Analysis
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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
2021
2021 International Conference on 3D Vision (3DV)
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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
2016
IEEE Transactions on Image Processing
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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
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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]
2021
arXiv
pre-print
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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
2007
ACM Transactions on Graphics
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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]
2022
arXiv
pre-print
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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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