Using deep learning for depth estimation and 3D reconstruction of humans

Keyphrases

• Deep Learning 100%
• 3D Reconstruction 100%
• Depth Estimation 100%
• Silhouette Reconstruction 50%
• Learning Outcomes 25%
• Relative Standard Deviation 25%
• Surface Data 25%
• Industrial Environment 25%
• Convolutional Neural Network 25%
• Hybrid Method 25%
• Training Data 25%
• Breast 25%
• Common Strategies 25%
• 3D Surface 25%
• Depth Information 25%
• 3D Human Body Reconstruction 25%
• Human Body Image 25%
• RGB-D 25%
• 3D Human Body Model 25%
• Robotic Environment 25%
• Video Feed 25%
• Target Domain 25%
• Scene Reconstruction 25%
• Multiple Camera Views 25%
• Monocular Video 25%
• Hybrid Training 25%
• Buttocks 25%
• Encoder-decoder 25%
• Concave Area 25%
• Object Localization 25%

Computer Science

• Depth Estimation 100%
• 3d Reconstruction 100%
• Deep Learning Method 100%
• Approximation (Algorithm) 25%
• Industrial Environment 25%
• Learning Experiences 25%
• Convolutional Neural Network 25%
• Hybrid Approach 25%
• Depth Information 25%
• Training Dataset 25%
• Multiple Camera 25%
• Computer Aided Design 25%

Engineering

• Deep Learning Method 100%
• Industrial Environment 33%
• Hybrid Approach 33%
• Body Model 33%
• Multiple Camera 33%
• Side View 33%
• Camera View 33%
• Front View 33%
• Convolutional Neural Network 33%
• Computer Aided Design 33%