A review of heuristic optimization techniques applied for 3D body reconstruction from anthropometric measurements

Reconstructing 3D human models has a variety of applications in areas such as entertainment, medical, manufacturing, and design. Reconstruction techniques are classified based on characteristics data input, devices used, algorithms employed, which using anthropometric measurements is one the most widely used methods. Traditional methods reconstruction from rely technologies like Convolutional Neutral Network (CNN), Linear Regression to generate an accurate model reasonable amount time. This paper presents picture heuristic optimization find optimal solution body reconstructions measurements. In terms output accuracy, discussed this have potential outperform CNN similar technologies. Results verified validated real dataset evaluate performances each method.