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Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics
[article]
2020
arXiv
pre-print
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This makes it possible to robustly imitate a broad set of multi-step fabric smoothing and folding tasks on multiple physical robotic systems. ...
Results also suggest robustness to fabrics of various colors, sizes, and shapes. See https://tinyurl.com/fabric-descriptors for supplementary material and videos. ...
Dense Object Descriptor Training Procedure We consider an environment with a deformable fabric on a flat tabletop and learn policies that perform smoothing and folding tasks. ...
arXiv:2003.12698v2
fatcat:ftdd3zxw5vektkcrb5q7zhxi7a
SemanticPaint
2015
ACM Transactions on Graphics
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The user interacts physically with the real-world scene, touching objects and using voice commands to assign them appropriate labels. ...
Using our system, a user can walk into a room wearing a depth camera and a virtual reality headset, and both densely reconstruct the 3D scene and interactively segment the environment into object classes ...
This is due to the fact that these chairs are actually yellow in color (see Fig. 1 ), and we use both appearance and geometry cues for learning (and have only trained on blue chairs so far). ...
doi:10.1145/2751556
fatcat:r54z2iasqvfczpfb6vptrpeafa
Dynamic Neural Garments
[article]
2021
arXiv
pre-print
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Technically, our solution generates a coarse garment proxy sequence, learns deep dynamic features attached to this template, and neurally renders the features to produce appearance changes such as folds ...
We demonstrate generalization behavior to both unseen motion and unseen camera views. Further, our network can be fine-tuned to adopt to new body shape and/or background images. ...
., crease and folds) arising from a variety of factors, including their stitching layout, underlying materials, or printed patterns on the base fabrics. ...
arXiv:2102.11811v1
fatcat:sqtfd7d5ozaelil3mmp3kkol64
Learning a Shared Shape Space for Multimodal Garment Design
[article]
2018
arXiv
pre-print
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Traditional workflow involves a trial-and-error procedure wherein a mannequin is draped to judge the resultant folds and the sewing pattern iteratively adjusted until the desired look is achieved. ...
This necessitates creating simple and effective workflows to facilitate authoring sewing patterns customized to garment and target body shapes to achieve desired looks. ...
EVALUATION We evaluate our method qualitatively on real and synthetic data and quantitatively on synthetic data. ...
arXiv:1806.11335v2
fatcat:dzjya3hu2nfvbph5ok7j6gik4y
A Survey on Hand Pose Estimation with Wearable Sensors and Computer-Vision-Based Methods
2020
Sensors
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Hand pose estimation is a big academic and technical challenge due to the complex structure and dexterous movement of human hands. ...
Real-time sensing and modeling of the human body, especially the hands, is an important research endeavor for various applicative purposes such as in natural human computer interactions. ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. ...
doi:10.3390/s20041074
pmid:32079124
pmcid:PMC7071082
fatcat:3wmf5dxi4naghm62ax32zo4xce
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies
[article]
2021
arXiv
pre-print
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LOKI uses a learned model of manipulation features to refine a coarse grasp keypoint prediction to a precise, optimized location and orientation, while SPiDERMan uses a learned model to sense task progress ...
We evaluate these algorithms in physical cable untangling experiments with 336 knots and over 1500 actions on real cables using the da Vinci surgical robot. ...
ACKNOWLEDGMENTS This research was performed at the AUTOLAB at UC Berkeley in affiliation with the Berkeley AI Research (BAIR) Lab, the Real-Time Intelligent Secure Execution (RISE) Lab and the CITRIS " ...
arXiv:2107.08942v1
fatcat:tw4h72iyg5afneroajhwxf7ula
Deep filter banks for texture recognition, description, and segmentation
[article]
2015
arXiv
pre-print
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Visual textures have played a key role in image understanding because they convey important semantics of images, and because texture representations that pool local image descriptors in an orderless manner ...
from one domain to another. ...
Apart from its ability to incorporate information pertaining to image boundaries and color similarity, the Dense-CRF is particularily effiecient when used in conjunction with approximate probabilistic ...
arXiv:1507.02620v2
fatcat:hy7bumxlbvgtdlariuukwu5bqy
Deep Filter Banks for Texture Recognition, Description, and Segmentation
2016
International Journal of Computer Vision
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Visual textures have played a key role in image understanding because they convey important semantics of images, and because texture representations that pool local image descriptors in an orderless manner ...
First, instead of focusing on texture instance and material category recognition, we propose a human-interpretable vocabulary of texture attributes to describe common texture patterns, complemented by ...
Apart from its ability to incorporate information pertaining to image boundaries and color similarity, the Dense-CRF is particularly efficient when used in conjunction with approximate probabilistic inference ...
doi:10.1007/s11263-015-0872-3
pmid:27471340
pmcid:PMC4946812
fatcat:z7sz65gi5nevbgsh2tt3kzdnzi
Unsupervised texture transfer from images to model collections
2016
ACM Transactions on Graphics
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Instead of using problematic dense correspondences, we factorize the problem into the reconstruction of a set of base textures (materials) and an illumination model for the object in the image. ...
, as well as a wealth of data for training machine learning algorithms for various inference tasks in graphics and vision. ...
, a Google Focused Research award, and gifts from Adobe and Intel. ...
doi:10.1145/2980179.2982404
fatcat:mnonnv3iuvepdhxohrilimjzry
An Investigation of Local Descriptors for Biometric Spoofing Detection
2015
IEEE Transactions on Information Forensics and Security
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The research in this field is very active, with local descriptors, based on the analysis of microtextural features, gaining more and more popularity, because of their excellent performance and flexibility ...
This paper aims at assessing the potential of these descriptors for the liveness detection task in authentication systems based on various biometric traits: fingerprint, iris, and face. ...
to distinguish between real and fake traits. ...
doi:10.1109/tifs.2015.2404294
fatcat:ylepj7dzszbtnhjepned75ylee
2019 Index IEEE Robotics and Automation Letters Vol. 4
2019
IEEE Robotics and Automation Letters
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., +, LRA July 2019 2902-2909 Learning Affordance Segmentation for Real-World Robotic Manipulation via Synthetic Images. ...
Yang, K., +, LRA April 2019 708-715 Learning Affordance Segmentation for Real-World Robotic Manipulation via Synthetic Images. ...
doi:10.1109/lra.2019.2955867
fatcat:ckastwefh5chhamsravandtnx4
Learning-based Feedback Controller for Deformable Object Manipulation
[article]
2018
arXiv
pre-print
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Our online policy learning is based on the Gaussian Process Regression (GPR), which can achieve fast and accurate manipulation and is robust to small perturbations. ...
We validate the performance of our controller on a set of deformable object manipulation tasks and demonstrate that our method can achieve effective and accurate servo-control for general deformable objects ...
image of the current cloth configuration. 2) Transferring from a simulated environment to real robot hardware: To transfer the controller parametrization trained on the synthetic data, we complete the ...
arXiv:1806.09618v2
fatcat:nekes2brfjcere3zz5w4j7ttmi
Machine-Learning-Assisted De Novo Design of Organic Molecules and Polymers: Opportunities and Challenges
2020
Polymers
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To date, using ML-assisted approaches, the quantitative structure property/activity relation for material property prediction can be established more accurately and efficiently. ...
With advancements in high-throughput computation, artificial intelligence (especially machining learning, ML), and the growth of materials databases, ML-assisted materials design is emerging as a promising ...
All authors have read and agreed to the published version of the manuscript. ...
doi:10.3390/polym12010163
pmid:31936321
pmcid:PMC7023065
fatcat:rptoxcbvsfg4toacpbxedwnq5m
Spatio-Temporal Deep Learning-Based Methods for Defect Detection: An Industrial Application Study Case
2021
Applied Sciences
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Data-driven methods—particularly machine learning techniques—are expected to play a key role in the headway of Industry 4.0. ...
One increasingly popular application in this context is when anomaly detection is employed to test manufactured goods in assembly lines. ...
This research was conducted by partners: UFAM/ICOMP, ICTS and ENVISION/TPV.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app112210861
fatcat:q6u4au2rcfbjleqjmlbv76gzye
A comprehensive survey of fingerprint presentation attack detection
2021
Journal of Surveillance, Security and Safety
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Both hardware-and software-based state-of-the-art methods are thoroughly presented and analyzed for identifying real fingerprints from artificial ones to help researchers to design securer biometric systems ...
Biometric traits have gained significant interest in this area in recent years due to their uniqueness, ease of use and development, user convenience and security. ...
[134] used a sensor with time-series and color sensing capabilities to capture a gray scale static image and a time-series color capture simultaneously. ...
doi:10.20517/jsss.2021.07
fatcat:arkgqtjmhfgqzgmwiuo4pc3squ
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