From 503adbc09ddbd33c73b26b412bba56256fef2385 Mon Sep 17 00:00:00 2001 From: shashidharreddydakuri Date: Thu, 8 Oct 2020 11:24:19 +0530 Subject: [PATCH] virtual trialing for cloths in online --- Projects/3-Advanced/E-Trial-AR-app.md | 59 +++++++++++++++++++++++++++ 1 file changed, 59 insertions(+) create mode 100644 Projects/3-Advanced/E-Trial-AR-app.md diff --git a/Projects/3-Advanced/E-Trial-AR-app.md b/Projects/3-Advanced/E-Trial-AR-app.md new file mode 100644 index 00000000..f3a7fcd3 --- /dev/null +++ b/Projects/3-Advanced/E-Trial-AR-app.md @@ -0,0 +1,59 @@ +# 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