My project combines computer vision with 3D modeling and real-time 3D rendering to create a realistic hand model in Unity that mimics the movement of a user's hand. It utilizes OpenCV and MediaPipe for hand tracking in Python, a Blender-modeled and textured hand, and a UDP connection to transmit hand tracking data to Unity for rendering.

MANO is a differentiable hand model that can map hand pose parameters (joint angles and root location) and shape parameters into a 3D hand mesh. The model is very realistic, has low-dimensions, and can fit any human hand.

Oct 1, 2024 · In this tutorial, we’ll learn how to do real-time 3D hands landmarks detection using the Mediapipe library in python. After that, we’ll learn to perform hands type classification (i.e. is it a left or right hand) and then draw the bounding boxes around the hands by retrieving the required coordinates from the detected landmarks.

Jan 4, 2023 · Mediapipe Holistic is one of the pipelines which contains optimized face, hands, and pose components which allows for holistic tracking, thus enabling the model to simultaneously detect hand and body poses along with face landmarks. one of the main usages of MediaPipe holistic is to detect face and hands and extract key points to pass on to a co...

I developed a unique 3D game experience using Python, integrating OpenGL for 3D rendering and MediaPipe for hand gesture recognition. The project allows users to interact with a 3D model—a cube—through hand gestures, captured in real time via a webcam.

Jun 27, 2021 · In this post, I show how to do this using mediapipe’s hand keypoints detector. The code for this demo is uploaded to my repository: click here. I assume that you already have two calibrated cameras looking at the same scene and that the projection matrices are already known. Figure 1. Multi-view inputs. Figure 2. 3D triangulated keypoints.

Feb 1, 2022 · Mediapipe offers models with very good accuracy and very less latency on both desktop and mobile devices. It provides 3D Hand Landmark model using machine learning techniques to predict 21 points from a single frame and can work on desktop, mobile or browsers etc. Here is details of all the points that mediapipe provides for a single hand.

Jun 30, 2024 · In this post, I am going to show you how easy it is to get started with a hand tracking algorithm using Python and a webcam, all running locally on your computer.

PyTorch implementation of the article Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks and Resource Efficient 3D Convolutional Neural Networks, codes and pretrained models.

This work addresses a novel and challenging problem of estimating the full 3D hand shape and pose from a single RGB image. Most current methods in 3D hand analysis from monocular RGB images only focus on estimating the 3D locations of hand keypoints, which cannot fully express the 3D shape of hand.