Our work presents a new approach to calculate body measures using 2D Camera Images, applying Digital Image Processing, Convolution Neural Networks, and Machine ...

This work presents a new approach to calculate body measures using 2D Camera Images, applying Digital Image Processing, Convolution Neural Networks, and ...

Our contributions focus on predicting human body measures in 2D images and create a new concept for body segmentation using outputs features of Dense Pose ...

Mar 11, 2022 · Given N images as input, the model solves a regression task, predicting body measurements (waist circumference, hip girth, should width, inseam…) ...

Apr 16, 2024 · We introduce a novel method called height normalization, which aims to mitigate these issues by normalizing the scale across all images.

The next step in process is to create a learning model which will use the data and learn how to predict measurements from a 2D image. In this study, this is ...

A solution to predict human body girth measurement and weight from a front image taken with a modern smartphone camera using a set of 3D body scans and ...

Sep 11, 2023 · The application analyzes color images taken from various angles and employs a Convolutional Neural Network to predict body circumferences and ...

Estimating body condition score in dairy cows from depth images using convolutional neural networks, transfer learning and model ensembling techniques.

The proposed method can predict 2D subcutaneous and visceral fat maps in a single network with a high accuracy.