Deep Learning for 3D Shape and Pose Estimation
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (31 January 2021) | Viewed by 412
Special Issue Editor
Special Issue Information
Dear Colleagues,
Making machines perceive the 3D world has become one of the cornerstones of successful deployment of many digital technologies from robotics to extended reality. In this Special Issue, we would like to stop and rethink why and how we should use deep learning for acquiring shapes and poses from 3D scenes, both from a theoretical and practical perspective. The issue will be about all problems and deep learning based techniques for 3D shape and pose estimation and understanding from sensor measurements such as colour images, depth images, or IMUs. We invite you to submit your excellent and inspiring works to this Special Issue.
Dr. Cengiz Oztireli
Guest Editor
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Keywords
- 3D shape estimation
- 3D pose estimation
- 3D geometry acquisition
- Human pose estimation
- Articulated motion
- Scene understanding
- Deep learning
- Neural networks
- Machine learning
- Artificial intelligence
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