2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper ID3D-4.8
Paper Title REAL-TIME 3D HAND-OBJECT POSE ESTIMATION FOR MOBILE DEVICES
Authors Yue Yin, Chris McCarthy, Dana Rezazadegan, Swinburne University of Technology, Australia
Session3D-4: 3D Image and Video Processing
LocationArea J
Session Time:Tuesday, 21 September, 13:30 - 15:00
Presentation Time:Tuesday, 21 September, 13:30 - 15:00
Presentation Poster
Topic Three-Dimensional Image and Video Processing: Image and video processing augmented and virtual reality
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Interest in 3D hand pose estimation is rapidly growing, offering the potential for real-time hand gesture recognition in a range of interactive VR/AR applications, and beyond. Most current 3D hand pose estimation models rely on dedicated depth-sensing cameras and/or specialised hardware support to handle both the high computation and memory requirements. However, such requirements hinder the practical application of such models on mobile devices or in other embedded computing contexts. To address this, we propose a lightweight model for hand and object pose estimation specifically targeting mobile applications. Using RGB images only, we show how our approach achieves real-time performance, comparable accuracy, and an 81% model size reduction compared with state-of-the-art methods, thereby supporting the feasibility of the model for deployment on mobile platforms.