DERI Seminar with Shanxin Yuan - 3D Hand Pose Estimation: Current Status and Trend

When: Thursday, January 19, 2023, 11:00 AM - 12:00 PM
Where: zoom

We are delighted that Shanxin Yuan will be presenting.  Shanxin has recently joined us as a Lecturer in the Digital Environment.

Zoom link: https://qmul-ac-uk.zoom.us/j/81148100921

Title: 3D Hand Pose Estimation: Current Status and Trend.

Abstract: 3D hand pose estimation has been one of the most essential topics in computer vision because it enables quantitative human behavior analysis. Hand pose estimation can be deployed in a wide range of applications, such as, augmented/virtual reality, robotics, human-computer interactions, sign language understanding, music understanding, and healthcare. The following three examples are to illustrate the importance of hand pose estimation: (1) Gaming in virtual reality with two hands controlling virtual objects is more user-friendly than using a mouse and a keyboard. (2) With accurate hand pose estimation, joint related diseases, e.g. Parkinsons, can be diagnosed quicker than traditional methods. (3) It also has the potential to empower music understanding with the ability to quantify fingers’ movements.  In this presentation, I will talk about my work on hand pose estimation, 3D body reconstruction, and my research plan in this direction.

Bio: Shanxin  has rich expertise in deep learning, low level computer vision, and 3D digital modelling of humans from photographs.  He joins us from Huawei Noah’s Ark Lab where he was previously a Senior Research Scientist in Computer Vision, and his innovations have gone into commercially launched mass market mobile phones.  You can learn more about Shanxin here: https://shanxinyuan.github.io/