Webcam virtual try on by three.js

Questions
1

I want to do a virtual try-on, capturing the person by webcame, and then using the 3D model in FBX file, sticking the clothes of the 3D model onto the person . how can I do this by three.js?

2

Depends - what are you using to turn webcam footage into 3D FBX models? Is there any UV mapping? Does it have to work in real-time?

Three.js is a 3D rendering library - it does not give you an ability to turn 2D webcam feed into 3D models. But it will allow you to put some clothes on a 3D model, if you already managed to extract one.

1 Like
3

yes , work in real-time, i have 3d model and uv map info and it’s realy worked well by snapcamera, but I want to implement it using a front-end js without Snapcamera.

4

Hi ,did it worked out , I want to know how to do it ,can you share me resources if you have any

5

To make a virtual try-on with a webcam using Three.js, you essentially integrate the webcam video onto a 3D model. This means capturing the webcam stream, applying it to the model’s surface, and potentially using face tracking to ensure a good fit. Now if it’s working then you can check that on a webcam testing tool, for example https://webcammictest.io/ which i recently found on the web.

6

This is an advanced computer vision and 3D graphics project! Here’s a comprehensive approach to implement virtual try-on using Three.js:

Overview of the Solution

You’ll need to combine:

  • Webcam capture (getUserMedia)

  • Pose detection (MediaPipe, TensorFlow.js)

  • 3D model loading (Three.js FBX loader)

  • Real-time cloth positioning based on body landmarks

Core Implementation

1. Basic Setup and Webcam Capture

import * as THREE from 'three';
import { FBXLoader } from 'three/examples/jsm/loaders/FBXLoader.js';

// Setup Three.js scene
const scene = new THREE.Scene();
const camera = new THREE.PerspectiveCamera(75, window.innerWidth / window.innerHeight, 0.1, 1000);
const renderer = new THREE.WebGLRenderer({ alpha: true });
renderer.setSize(window.innerWidth, window.innerHeight);
document.body.appendChild(renderer.domElement);

// Webcam setup
const video = document.createElement('video');
navigator.mediaDevices.getUserMedia({ video: true })
  .then((stream) => {
    video.srcObject = stream;
    video.play();
  });

// Create video texture
const videoTexture = new THREE.VideoTexture(video);
const videoMaterial = new THREE.MeshBasicMaterial({ 
  map: videoTexture,
  transparent: true 
});

2. Pose Detection Integration

// Using MediaPipe Pose (include their CDN)
import { Pose } from '@mediapipe/pose';
import { Camera } from '@mediapipe/camera_utils';

const pose = new Pose({
  locateFile: (file) => `https://cdn.jsdelivr.net/npm/@mediapipe/pose/${file}`
});

pose.setOptions({
  modelComplexity: 1,
  smoothLandmarks: true,
  enableSegmentation: true,
  smoothSegmentation: true,
  minDetectionConfidence: 0.5,
  minTrackingConfidence: 0.5
});

pose.onResults((results) => {
  if (results.poseLandmarks) {
    updateClothPosition(results.poseLandmarks);
  }
});

// Start camera with pose detection
const camera = new Camera(video, {
  onFrame: async () => {
    await pose.send({ image: video });
  },
  width: 640,
  height: 480
});
camera.start();

3. Load and Position 3D Clothing

const fbxLoader = new FBXLoader();
let clothingModel;

fbxLoader.load('path/to/your/clothing.fbx', (object) => {
  clothingModel = object;
  scene.add(clothingModel);
  
  // Initial positioning and scaling
  clothingModel.scale.set(0.1, 0.1, 0.1);
  clothingModel.visible = false;
});

function updateClothPosition(landmarks) {
  if (!clothingModel) return;
  
  // Get key body landmarks
  const leftShoulder = landmarks[11];
  const rightShoulder = landmarks[12];
  const leftHip = landmarks[23];
  const rightHip = landmarks[24];
  
  // Calculate position and rotation
  const centerX = (leftShoulder.x + rightShoulder.x) / 2;
  const centerY = (leftShoulder.y + leftHip.y) / 2;
  
  // Convert screen coordinates to 3D world coordinates
  const worldX = (centerX - 0.5) * 2;
  const worldY = -(centerY - 0.5) * 2;
  
  // Update clothing position
  clothingModel.position.set(worldX, worldY, 0);
  
  // Calculate rotation based on shoulder angle
  const shoulderAngle = Math.atan2(
    rightShoulder.y - leftShoulder.y,
    rightShoulder.x - leftShoulder.x
  );
  clothingModel.rotation.z = shoulderAngle;
  
  clothingModel.visible = true;
}

4. Complete Integration

function animate() {
  requestAnimationFrame(animate);
  
  // Create background plane with webcam feed
  if (!videoPlane) {
    const geometry = new THREE.PlaneGeometry(2, 2);
    videoPlane = new THREE.Mesh(geometry, videoMaterial);
    scene.add(videoPlane);
  }
  
  renderer.render(scene, camera);
}
animate();

Key Challenges and Solutions

1. Coordinate System Conversion

function screenToWorld(x, y, z = 0) {
  const vector = new THREE.Vector3();
  vector.set(
    (x / video.videoWidth) * 2 - 1,
    -(y / video.videoHeight) * 2 + 1,
    z
  );
  vector.unproject(camera);
  return vector;
}

2. Cloth Scaling and Fitting

function calculateClothScale(landmarks) {
  const shoulderWidth = Math.abs(landmarks[11].x - landmarks[12].x);
  const torsoHeight = Math.abs(landmarks[11].y - landmarks[23].y);
  
  return {
    x: shoulderWidth * 1.2, // Add some margin
    y: torsoHeight * 1.1,
    z: 1 // Maintain depth
  };
}

3. Performance Optimization

// Use low-poly models for real-time performance
// Implement level of detail (LOD)
// Throttle pose detection updates
let lastUpdate = 0;
const UPDATE_INTERVAL = 100; // ms

function throttledUpdate(landmarks) {
  const now = Date.now();
  if (now - lastUpdate > UPDATE_INTERVAL) {
    updateClothPosition(landmarks);
    lastUpdate = now;
  }
}

Required Libraries

<!-- Include in your HTML -->
<script src="https://cdn.jsdelivr.net/npm/three@0.132.2/build/three.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/three@0.132.2/examples/jsm/loaders/FBXLoader.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@mediapipe/pose/pose.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@mediapipe/camera_utils/camera_utils.js"></script>

Next Steps

  1. Start with simple clothing items (hats, glasses) before full outfits

  2. Test with different body types for better generalization

  3. Implement cloth physics for more realistic draping

  4. Add multiple clothing options and switching functionality

This approach gives you a solid foundation for virtual try-on functionality Michigan County Map. The key is precise landmark detection and smooth coordinate mapping between 2D video and 3D space.

7

since its saying clothes? is cloths sleeve inlcuded in the movement? just asking…