2D to 3D Anthropometric Measurement Estimation System

1. 3D Prediction (SVR)

1.1. Support Vector Regression (SVR)

1.2. Kernel Transformation (for transforming 2D to 3D space)

1.3. Decision Function (to generate 3D measurements)

2. Output

2.1. Display Results (Final measurements in cm or inches)

2.2. User-friendly Interface

3. Input Data

3.1. 2D Image (Front-facing body image)

3.2. User’s Height

4. Preprocessing

4.1. Image Resizing

4.2. Image Normalization

4.3. Background Segmentation

5. Pose Landmark Detection

5.1. Identifying Joints and Limbs

5.2. MediaPipe Pose

6. Measurement Calculation

6.1. Group Landmarks

6.2. Edge Search Algorithm

6.3. Geometry Techniques

7. Scaling and Error Adjustments

7.1. Calculate CM/P (centimeters per pixel)

7.2. Adjust for Margin of Error