3D Object Tracking for Augmented Reality: Handling Multiple Objects, Motion-Blur, and Lack of Texture
Augmented Reality (AR) is implemented by superimposing virtual entities on the real scene so that they appear registered with the related real entities. For the registration to be reliable, qualified object tracking technologies are necessary. In this talk, we address the problems of 3D object tracking in implementing practical AR systems: handling multiple 3D objects, motion blur, and texture-less objects. Presenting the solutions for these problems, we focus on reducing the tracking dependency on the complex texture. Finally, in the texture-less object tracking, we show how to exploit the depth information obtained in real-time using Microsoft Kinect.
Speaker Details
Youngmin Park received the BS degree in computer engineering from the Kangwon National University (KNU), Gangwon-do, Korea, in 2004, and the MS degree from the Department of Information and Communications (DIC), Gwangju Institute of Science and Technology (GIST), Gwangju, Korea, in 2006, where he is currently working toward the PhD degree. His research interests include Augmented Reality, 3D vision-based tracking, object detection, and mobile computing.
- Series:
- Microsoft Research Talks
- Date:
- Speakers:
- Yongmin Park
- Affiliation:
- Ubiquitous – Virtual Reality Lab
Series: Microsoft Research Talks
-
Decoding the Human Brain – A Neurosurgeon’s Experience
Speakers:- Pascal Zinn,
- Ivan Tashev
-
-
-
-
Galea: The Bridge Between Mixed Reality and Neurotechnology
Speakers:- Eva Esteban,
- Conor Russomanno
-
Current and Future Application of BCIs
Speakers:- Christoph Guger
-
Challenges in Evolving a Successful Database Product (SQL Server) to a Cloud Service (SQL Azure)
Speakers:- Hanuma Kodavalla,
- Phil Bernstein
-
Improving text prediction accuracy using neurophysiology
Speakers:- Sophia Mehdizadeh
-
-
DIABLo: a Deep Individual-Agnostic Binaural Localizer
Speakers:- Shoken Kaneko
-
-
Recent Efforts Towards Efficient And Scalable Neural Waveform Coding
Speakers:- Kai Zhen
-
-
Audio-based Toxic Language Detection
Speakers:- Midia Yousefi
-
-
From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
Speakers:- Sujeeth Bharadwaj
-
Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
Speakers:- Monojit Choudhury
-
-
-
-
-
'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project
Speakers:- Peter Clark
-
Checkpointing the Un-checkpointable: the Split-Process Approach for MPI and Formal Verification
Speakers:- Gene Cooperman
-
Learning Structured Models for Safe Robot Control
Speakers:- Ashish Kapoor
-