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Projects/3-Advanced/E-Trial-AR-app.md

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+# E_Trial
+
+**Tier:** 3-Advanced
+
+Virtual trial or E-trial is an Augmented reality based e-commerce clothing app. It will be used to trial dresses vitrually with front camera. It can be used to measure body size for cloth fitting purpose.
+
+
+## User Stories
+
+-   [ ] User can try the dresses by positioning the mobile in front of them (like selfie).
+-   [ ] User can measure their body parts size for accurate fitting.
+-   [ ] User can reduce travel time by using this app.
+-   [ ] User can use their mirror for optimal viewing of the dress trialing.
+
+
+## Bonus features
+
+-   [ ] User don't need to worry about their dress sizes while purchasing online.
+
+## Useful links and resources
+
+[OpenCV](https://opencv.org/)
+
+[awesome-human-pose-estimation (GITHUB)](https://github.com/cbsudux/awesome-human-pose-estimation)
+
+[human-pose-estimation-2d-guide](https://nanonets.com/blog/human-pose-estimation-2d-guide/)
+
+[a-beginners-guide-to-convolutional-neural-networks](https://heartbeat.fritz.ai/a-beginners-guide-to-convolutional-neural-networks-cnn-cf26c5ee17ed)
+
+[Real-time Human Pose Estimation in the Browser with TensorFlow.js](https://medium.com/tensorflow/real-time-human-pose-estimation-in-the-browser-with-tensorflow-js-7dd0bc881cd5)
+
+[Human pose estimation using Deep Learning in OpenCV](https://cv-tricks.com/pose-estimation/using-deep-learning-in-opencv/)
+
+[Pose Estimation (papers with code)](https://paperswithcode.com/task/pose-estimation)
+
+[deeppose-human-pose-estimation-via-deep-neural-networks (geeksforgeeks)](https://www.geeksforgeeks.org/deeppose-human-pose-estimation-via-deep-neural-networks/)
+
+[google automl vision](https://cloud.google.com/blog/products/ai-machine-learning/announcing-updates-to-automl-vision-edge-automl-video-and-video-intelligence-api)
+
+[Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras](https://arxiv.org/pdf/1908.03030.pdf)
+
+[Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation](https://arxiv.org/pdf/1904.10506.pdf)
+
+[Learning to Estimate 3D Human Pose and Shape from a Single Color Image](https://openaccess.thecvf.com/content_cvpr_2018/papers/Pavlakos_Learning_to_Estimate_CVPR_2018_paper.pdf)
+
+[IPSJ Transactions on Computer Vision and Applications](https://ipsjcva.springeropen.com/articles/10.1186/s41074-018-0052-9)
+
+[Detailed, accurate, human shape estimation from clothed 3D scan sequences](https://virtualhumans.mpi-inf.mpg.de/papers/shapeunderclothCVPR17/shapeunderclothCVPR17.pdf)
+
+[Body Shape Estimation (github)](https://github.com/maria-korosteleva/Body-Shape-Estimation)
+
+[Human Body Shape Estimation Using a Multi-Resolution Manifold Forest](https://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Perbet_Human_Body_Shape_2014_CVPR_paper.pdf)
+
+[]()
+
+
+## Example projects
+
+N/A