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Method for Measuring Rotation Angle of Faucet Handle Based on Machine Vision

Jie Chen, Qian Yuan, Bin Li
2020 IEEE Access  
:Method for Measuring Rotation Angle of Faucet Handle 2 J, Chen et al. :Method for Measuring Rotation Angle of Faucet Handle 8 FIGURE 9.  ...  This paper proposes a faucet rotation angle detection system that uses machine vision to measure the faucet handle's rotation angle.  ...  :Method for Measuring Rotation Angle of Faucet Handle J, Chen et al. :Method for Measuring Rotation Angle of Faucet Handle 4  ... 
doi:10.1109/access.2020.3034103 fatcat:o3ukfvkkzbgkxduqetxj7up2vq

High Quality Structure from Small Motion for Rolling Shutter Cameras

Sunghoon Im, Hyowon Ha, Gyeongmin Choe, Hae-Gon Jeon, Kyungdon Joo, In So Kweon
2015 2015 IEEE International Conference on Computer Vision (ICCV)  
Additionally, we present a depth propagation method to fill in the holes associated with the unknown pixels based on our novel geometric guidance model.  ...  To address these problems, we introduce a novel 3D reconstruction method from narrowbaseline image sequences that effectively handles the effects of a rolling shutter that occur from most of commercial  ...  To interpolate the changes of rotation and translation, usually the SLERP [7, 27] method is used for rotation and a linear interpolation is used for translation.  ... 
doi:10.1109/iccv.2015.102 dblp:conf/iccv/ImHCJJK15 fatcat:zw6m5s55o5hopngcaredep5wp4

Ditto: Building Digital Twins of Articulated Objects from Interaction [article]

Zhenyu Jiang, Cheng-Chun Hsu, Yuke Zhu
2022 arXiv   pre-print
This work focuses on recreating interactive digital twins of real-world articulated objects, which can be directly imported into virtual environments.  ...  We employ implicit neural representations for joint geometry and articulation modeling.  ...  Acknowledgments We would like to thank Yifeng Zhu for his help with real robot experiments.  ... 
arXiv:2202.08227v3 fatcat:7qudwqzikvgwrpdjzxnrg5yxr4

Towards data-driven stroke rehabilitation via wearable sensors and deep learning [article]

Aakash Kaku, Avinash Parnandi, Anita Venkatesan, Natasha Pandit, Heidi Schambra, Carlos Fernandez-Granda
2020 arXiv   pre-print
This ignorance stems from the lack of objective, pragmatic approaches for measuring training doses in rehabilitation activities.  ...  We performed automatic classification of these primitives using machine learning. We designed a convolutional neural network model that outperformed existing methods.  ...  Table 8 describes these joint angles in detail. Table 9 shows the performance of the different machine-learning models on Test sets 1 and 2 measured using accuracy instead of balanced accuracy.  ... 
arXiv:2004.08297v3 fatcat:zw7za4y7ybf4ffoxsbjqxpc4xa

Leap Motion Sensor Technology Based Robo-Control System

Siddhant A. Jadhav, Rohan R. Yashod, Aditya P. Sabne, Yash K. Rokde, Chandrabhan R. Ghuge
2020 International journal of computer science and mobile computing  
We measure more applications of this robot-like: These days, varied styles of robots are even utilized in medical industries, for the case of surgeries, the medico uses either direct or through pc management  ...  It is known for the key problems of electro-mechanical coming up with of bilateral golem manipulators.  ...  However, originally, the rotation task is natural and so is easy to maneuver hands to rotate any object within the desired method.  ... 
doi:10.47760/ijcsmc.2020.v09i12.007 fatcat:brlsd6rvajclxglxmangeg6zqi

Learning Articulated Motion Models from Visual and Lingual Signals [article]

Zhengyang Wu and Mohit Bansal and Matthew R. Walter
2016 arXiv   pre-print
By exploiting the complementary nature of the visual and lingual input, our method infers correct kinematic structures for various multiple-part objects on which the previous state-of-the-art, visual-only  ...  We evaluate our multimodal learning framework on a dataset comprised of a variety of household objects, and demonstrate a 36% improvement in model accuracy over the vision-only baseline.  ...  Our method bests the vision-only baseline in estimating the full kinematic graph for five of the eight objects, matching its performance on the remaining three objects.  ... 
arXiv:1511.05526v2 fatcat:rrv2bp34vjcjlcdt7q7awlvk3e

Learning to see like children: proof of concept [article]

Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci
2014 arXiv   pre-print
In the last few years we have seen a growing interest in machine learning approaches to computer vision and, especially, to semantic labeling.  ...  Based on this remark, we propose a re-foundation of the communication protocol between visual agents and the environment, which is referred to as learning to see like children.  ...  Acknowledgment The results coming from this research couldn't have been achieved without the contribution of many people, who have provided suggestions and supports in different forms.  ... 
arXiv:1408.2478v1 fatcat:s4ww5elkzzfr7iyrcjo7jhalnq

Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives [article]

Murtaza Dalal, Deepak Pathak, Ruslan Salakhutdinov
2021 arXiv   pre-print
Addressing this problem is an active area of research with the majority of focus on improving RL methods via better optimization or more efficient exploration.  ...  Despite the potential of reinforcement learning (RL) for building general-purpose robotic systems, training RL agents to solve robotics tasks still remains challenging due to the difficulty of exploration  ...  Acknowledgments We thank Shikhar Bahl, Ben Eyesenbach, Aravind Sivakumar, Rishi Veerapaneni, Russell Mendonca and Paul Liang for feedback on early drafts of this paper.  ... 
arXiv:2110.15360v1 fatcat:5b6eobkxp5dmdhwlygkqglfz2y

Solar Energy Scenarios

Mr Vishwanath K Patel
2012 IOSR Journal of Mechanical and Civil Engineering  
for the state.  ...  The Crises of energy has been increased over the years due to increasing world population and expansion of global industries especially for food and basic requirements.  ...  Acknowledgement The authors are grateful to the college for their cooperation and encouragement to carry out the work.  ... 
doi:10.9790/1684-0120103 fatcat:a6xuj7w3wrbahfhga7s3udwrh4

VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects [article]

Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas Guibas, Hao Dong
2022 arXiv   pre-print
The space of 3D articulated objects is exceptionally rich in their myriad semantic categories, diverse shape geometry, and complicated part functionality.  ...  ., cabinets, doors) in human environments is an important yet challenging task for future home-assistant robots.  ...  We use the 6D-rotation representation (Zhou et al., 2019) for the orientation of wp 0 and predict 3-DoF euler angles for subsequent orientation changes.  ... 
arXiv:2106.14440v2 fatcat:3c5upexjkrdwzgje2xusyskfci

Biosensing on the Centrifugal Microfluidic Lab-on-a-Disc Platform

Celina M. Miyazaki, Eadaoin Carthy, David J. Kinahan
2020 Processes  
Finally, an overview of current devices on the market is provided.  ...  This review considers the basics of the centrifugal microfluidics and describes recent developments in common biosensing methods and novel technologies for fluidic control and automation.  ...  The use of strobe flash as light source to fluorescence allowed measurements on rotating disc [149] .  ... 
doi:10.3390/pr8111360 fatcat:imfjzeso7ffofgfqzqyjd6ofmy

Where2Act: From Pixels to Actions for Articulated 3D Objects [article]

Kaichun Mo, Leonidas Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani
2021 arXiv   pre-print
For example, given a drawer, our network predicts that applying a pulling force on the handle opens the drawer.  ...  One of the fundamental goals of visual perception is to allow agents to meaningfully interact with their environment.  ...  We thank Yuzhe Qin and Fanbo Xiang for providing helps on setting up the SAPIEN environment.  ... 
arXiv:2101.02692v2 fatcat:ea2jkjspijc65n7qkswfyceytm

Multi-view Convolutional Neural Networks for 3D Shape Recognition [article]

Hang Su, Subhransu Maji, Evangelos Kalogerakis, Erik Learned-Miller
2015 arXiv   pre-print
A longstanding question in computer vision concerns the representation of 3D shapes for recognition: should 3D shapes be represented with descriptors operating on their native 3D formats, such as voxel  ...  We address this question in the context of learning to recognize 3D shapes from a collection of their rendered views on 2D images.  ...  Acknowledgements We thank Yanjie Li for her help on rendering meshes. We thank NVIDIA for their generous donation of GPUs used in this research. Our work was partially supported by NSF (CHS-1422441).  ... 
arXiv:1505.00880v3 fatcat:gvs6gyzkmrdnrcqqpemd4o2xyu

Recently Patented Inventions

1915 Scientific American  
One o f the principal objects flow through t h e faucet during the transfer o r of the:, invention i s to provide a machine for substitution of valves therefor. receiving the earth during the process of  ...  the tops to one side of the machine.  ... 
doi:10.1038/scientificamerican02061915-140 fatcat:46agyeivgfczlcowzuzzqnzgvy

A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets [article]

Muhammed Muzammul, Xi Li
2021 arXiv   pre-print
At the end, we showed future directions with existing challenges of the field. In the future, OD methods and models can be analyzed for real-time object detection, tracking strategies.  ...  This survey paper specially analyzed computer vision-based object detection challenges and solutions by different techniques.  ...  Several CV-based applications gained researchers' attention based on audio,video & imagebased data for pedestrians and object detection techniques, human interactions with machines, combinational analysis  ... 
arXiv:2107.07927v1 fatcat:pgwxu5tnvzhj7ln3ccndmpilsi
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