Computational Imaging - Depth Estimation Techniques and Applications

Explore cutting-edge computational imaging techniques in this IEEE Signal Processing Society webinar featuring Orazio Gallo from Nvidia. Delve into the importance of depth perception in computer vision and learn about various stereo depth estimation methods. Discover novel approaches to space-time navigation and image synthesis. Examine single-image, multi-image, and dynamic image depth estimation techniques. Gain insights into advanced stereo depth estimation concepts, including binary 3D stereo, polar line analysis, and latent cost optimization. Understand low-latency approaches and zero-matching network architectures. Witness demonstrations of full continuous damage assessment, perfect profile generation, and zero-crossing networks. Explore refinement techniques, continuous binary segmentation, and fusion methods for extracting and comparing depth information. This comprehensive 1-hour 17-minute webinar provides a thorough overview of state-of-the-art computational imaging research and applications.

Introduction
Importance of Depth
Overview
Stereo Dr Methods
Space Time Navigation
Novel Use Synthesis
Depth Estimation
Single Image Depth Estimation
Multi Image Depth Estimation
Dynamic Image Depth Estimation
Stereo Depth Estimation
Binary 3D
Stereo
Polar Line
Latent Cost
Low Latency
Zero Matching
Network Architecture
Disparity
Demo
Full Continuous Damage
Perfect Profile
Zero Crossing Network
Refinement
Continuous
Binary Segmentation
Continuous Depth Estimation
Conclusion
Fusion
Extracting Depth
Comparing Depth