Saarbrücken, Germany

Mykhaylo Andriluka


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 17(Granted Patents)


Location History:

  • Saarbrucken, DE (2015)
  • Saarbrücken, DE (2021)

Company Filing History:


Years Active: 2015-2021

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2 patents (USPTO):Explore Patents

Title: Mykhaylo Andriluka: Innovator in Monocular 3D Pose Estimation

Introduction

Mykhaylo Andriluka is a notable inventor based in Saarbrucken, Germany. He has made significant contributions to the field of computer vision, particularly in the area of 3D human pose estimation. His innovative work has the potential to enhance various applications, including robotics and augmented reality.

Latest Patents

Mykhaylo Andriluka holds a patent for "Monocular 3D pose estimation and tracking by detection." This patent describes methods and apparatus for monocular 3D human pose estimation and tracking. The technology is designed to recover poses of individuals in realistic street conditions using a monocular, potentially moving camera. The invention outlines a three-stage process that includes estimating a 3D pose of multiple objects through 2D tracking and viewpoint estimation. It employs a sound Bayesian formulation to address the challenges of pose estimation. The invention allows for articulated 3D tracking in real-world environments and provides methods for people detection and 2D pose estimation combined with dynamic motion prior.

Career Highlights

Throughout his career, Mykhaylo Andriluka has worked with prominent organizations, including Toyota Motor Europe and Technische Universität Darmstadt. His experience in these institutions has contributed to his expertise in the field of computer vision and pose estimation.

Collaborations

Mykhaylo has collaborated with notable colleagues such as Gabriel Othmezouri and Ichiro Sakata. These collaborations have further enriched his research and development efforts in the domain of 3D pose estimation.

Conclusion

Mykhaylo Andriluka is a pioneering inventor whose work in monocular 3D pose estimation is shaping the future of computer vision technology. His contributions are paving the way for advancements in various applications that rely on accurate human pose tracking.

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