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Surface Reconstruction with Data-driven Exemplar Priors
[article]
2017
arXiv
pre-print
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By manipulating these priors, we are able to reconstruct geometrically faithful models with the same class of objects from raw point clouds. ...
We then formulate the problem to select as-few-as-possible priors from the library, referred to as exemplar priors. ...
(a) Training dataset with a set of learned exemplar priors. (b) Input point data with 10% Gaussian noise and the reconstruction result using RIMLS. ...
arXiv:1701.03230v1
fatcat:qv23qbb46vchvnpp6uqaqw4smm
Data-driven assimilation of irregularly-sampled image time series
2017
2017 IEEE International Conference on Image Processing (ICIP)
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We address in this paper the reconstruction of irregurlarlysampled image time series with an emphasis on geophysical remote sensing data. ...
Contrary to model-driven assimilation models, we do not exploit a physically-derived dynamic prior but we build a data-driven dynamic prior from a representative dataset of the considered image dynamics ...
Fig.1 illustrates the scarcity of the data for such applications, here a satellite-derived sea surface geophysical field with missing data rates greater than 90% for a particular day and area. ...
doi:10.1109/icip.2017.8297094
dblp:conf/icip/FabletVLC17
fatcat:ksixkt6zxrfdfinfmyjbydj4je
Data-Driven Flower Petal Modeling with Botany Priors
2014
2014 IEEE Conference on Computer Vision and Pattern Recognition
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We overcome these challenges by combining data driven modeling techniques with domain knowledge from botany. ...
Each segmented petal is then fitted with a scale-invariant morphable petal shape model, which is constructed from individually scanned exemplar petals. ...
Our method uses both a data-driven approach and knowledge in botany to handle these challenges. ...
doi:10.1109/cvpr.2014.87
dblp:conf/cvpr/ZhangYFY14
fatcat:d3akzk675nhjdk74dnropkjv6m
Data-Driven Shape Analysis and Processing
[article]
2015
arXiv
pre-print
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We conclude our report with ideas that can inspire future research in data-driven shape analysis and processing. ...
Data-driven methods play an increasingly important role in discovering geometric, structural, and semantic relationships between 3D shapes in collections, and applying this analysis to support intelligent ...
Traditional shape reconstruction algorithms usually utilize generic priors, such as surface smoothness [DTB06] , and typically assume that the input data captures most of the object's surface. ...
arXiv:1502.06686v1
fatcat:upajios4y5a6dgf2zw7faqai4a
Joint Interpolation of Multisensor Sea Surface Temperature Fields Using Nonlocal and Statistical Priors
2016
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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The exemplar-based prior, referred to as a non-local prior, exploits similarities between local patches (small field regions) to interpolate missing data areas from previously observed exemplars. ...
We propose a novel statistical model, which combines two key features: an exemplar-based prior and second-order statistical priors. ...
Piolle from Ifremer/CERSAT for providing the SST data. ...
doi:10.1109/jstars.2016.2523605
fatcat:zeycn6jxjjdgfhrpe4jusyq764
Data-Driven Shape Analysis and Processing
2016
Computer graphics forum (Print)
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We conclude our report with ideas that can inspire future research in data-driven shape analysis and processing. ...
Data-driven methods serve an increasingly important role in discovering geometric, structural and semantic relationships between shapes. ...
Traditional shape reconstruction algorithms usually utilize generic priors, such as surface smoothness [DTB06] , and typically assume that the input data capture most of the object's surface. ...
doi:10.1111/cgf.12790
fatcat:q76sq2syjvce5fjjjb7yoafww4
A Survey of Surface Reconstruction from Point Clouds
2016
Computer graphics forum (Print)
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We survey the field of surface reconstruction, and provide a categorization with respect to priors, data imperfections, and reconstruction output. ...
future work in surface reconstruction. ...
User Driven The user driven prior incorporates the user into the process of surface reconstruction, allowing for them to provide intuitive and useful cues for reconstruction. ...
doi:10.1111/cgf.12802
fatcat:r4qj7emtpzfphajc2hgbqgampi
Analysis and Modeling of 3D Indoor Scenes
[article]
2017
arXiv
pre-print
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With the fast development of VR/AR devices and the emerging applications, the demand of realistic 3D indoor scenes keeps growing rapidly. ...
We first review works on understanding and semantic modeling of scenes from captured 3D data of the real world. ...
The key for data-driven approaches is the source of data, especially those with rich and semantic annotations. ...
arXiv:1706.09577v1
fatcat:pdbztyjkezabnj3eaok5wrs7xq
Unsupervised Reconstruction of Sea Surface Currents from AIS Maritime Traffic Data Using Trainable Variational Models
2021
Remote Sensing
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They support the relevance of the proposed learning-based AIS-driven approach to significantly improve the reconstruction of sea surface currents compared with state-of-the-art methods, including altimetry-based ...
The latter exploits variational auto-encoders coupled with neural ODE to represent sea surface dynamics. ...
Given a trained model with parameters Θ, we may solve minimization (2) to reconstruct the sea surface currents associated with any new AIS dataset. ...
doi:10.3390/rs13163162
fatcat:z4l5avlamjgordwtjdxekjaqlm
Data-driven shape analysis and processing
2016
SIGGRAPH ASIA 2016 Courses on - SA '16
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Prior to the emergence of data-driven techniques, high-level shape understanding and modeling was usually achieved with knowledge-driven methods. ...
We conclude our report with ideas that can inspire future research in data-driven shape analysis and processing. Relation to knowledge-driven shape processing. ...
Traditional shape reconstruction algorithms usually utilize generic priors, such as surface smoothness [Diebel et al. 2006] , and typically assume that the input data captures most of the object's surface ...
doi:10.1145/2988458.2988473
dblp:conf/siggraph/0004KHMK16
fatcat:tefja76ijnclzmpux2iaj45zgu
Guided Fine-Tuning for Large-Scale Material Transfer
[article]
2020
arXiv
pre-print
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We use existing methods to extract SVBRDF parameters from the close-ups, and our method to transfer these parameters to the entire surface, enabling the lightweight capture of surfaces several meters wide ...
We present a method to transfer the appearance of one or a few exemplar SVBRDFs to a target image representing similar materials. ...
Our method better transfers details of the surface compared to prior work, which either only captures global statistics (1st row) or struggles to generalize from a limited exemplar (2nd row).
Method ...
arXiv:2007.03059v1
fatcat:xfkrb75brjhjvorwbtf7eiyc2u
BAE-NET: Branched Autoencoder for Shape Co-Segmentation
[article]
2019
arXiv
pre-print
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2019 pre-print arXiv:1903.11228v1 fatcat:xskg52otibcerhzg5twwsafpie
By complementing the shape reconstruction loss with a label loss, BAE-NET is easily tuned for one-shot learning. ...
The unsupervised BAE-NET is trained with a collection of un-segmented shapes, using a shape reconstruction loss, without any ground-truth labels. ...
Many prior unsupervised co-segmentation methods [12, 18, 20, 50] , which are model-driven rather than data-driven, had only been tested on very small input sets (less than 50 shapes). ...
arXiv:1903.11228v2
fatcat:htxwsw6wovdjzmzrb2hiveb6zi
Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion
[chapter]
2018
Lecture Notes in Computer Science
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Furthermore, the query space in the source region is constrained to increase the efficiency of the approach compared to other exemplar-driven methods. ...
Most existing exemplar-based inpainting techniques, designed for color image completion, do not perform well on depth information with object boundaries obstructed or surrounded by missing regions. ...
Prior Work Prior work in depth hole filling [7, 9, 12, 14, 23, 24] is not as comprehensive as color image completion. ...
doi:10.1007/978-3-319-93000-8_35
fatcat:ymasx4jcpvdube2zhsp7pfm6fe
Morfit
2014
ACM Transactions on Graphics
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With significant data missing in a point scan, reconstructing a complete surface with sufficient geometric and topological fidelity is highly challenging. ...
We demonstrate various interactive reconstructions from point scans with sharp features and significant missing data. ...
As we demonstrate, our curve-driven interactive reconstruction technique leads to successful interpolation of surfaces over regions with significant missing data, sharp features, and general geometric ...
doi:10.1145/2661229.2661241
fatcat:obw7enc6m5erpidvplfcmss7te
Spatio-Temporal Interpolation of Cloudy SST Fields Using Conditional Analog Data Assimilation
2018
Remote Sensing
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Physically-driven data assimilation models [20] may outperform OI if relevant dynamical priors can be defined [21] . ...
EOF-based models were among the early and perhaps most popular data-driven methods applied to the reconstruction of SST fields from cloudy SST data [14, 15, 22] as well of other sea surface tracers such ...
P.V. and R.L. analyzed the data; P.V., R.L. and PH.H. contributed reagents/materials/analysis tools; R.F. wrote the paper." ...
doi:10.3390/rs10020310
fatcat:zylrpczzg5evfdviugtvzgdpua
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