Главная
Study mode:
on
1
Introduction
2
Importance of Depth
3
Overview
4
Stereo Dr Methods
5
Space Time Navigation
6
Novel Use Synthesis
7
Depth Estimation
8
Single Image Depth Estimation
9
Multi Image Depth Estimation
10
Dynamic Image Depth Estimation
11
Stereo Depth Estimation
12
Binary 3D
13
Stereo
14
Polar Line
15
Latent Cost
16
Low Latency
17
Zero Matching
18
Network Architecture
19
Disparity
20
Demo
21
Full Continuous Damage
22
Perfect Profile
23
Zero Crossing Network
24
Refinement
25
Continuous
26
Binary Segmentation
27
Continuous Depth Estimation
28
Conclusion
29
Fusion
30
Extracting Depth
31
Comparing Depth
Description:
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. Read more

Computational Imaging - Depth Estimation Techniques and Applications

IEEE Signal Processing Society
Add to list
0:00 / 0:00