Cascaded deep graphical convolutional neural network for 2D hand pose estimation

Sartaj Ahmed Salman; Ali Zakir; Hiroki Takahashi

doi:10.1117/12.2666956

25 March 2023 Cascaded deep graphical convolutional neural network for 2D hand pose estimation

Sartaj Ahmed Salman, Ali Zakir, Hiroki Takahashi

Proceedings Volume 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023; 1259215 (2023) https://doi.org/10.1117/12.2666956
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2023, 2023, Jeju, Korea, Republic of

Abstract

Human hands, an essential component of the human body, play a vital role in interacting with and sensing real-world objects and are a reliable medium in modern technology for developing human-computer-interaction (HCI). Human Hand Pose Estimation (HPE) is challenging for numerous Artificial Intelligence (AI) applications due to the strong self-occlusion of the hands, depth ambiguity, and agile movement. Implementation of vision-based hand pose estimation algorithms can give a breath of innovation of these AI applications to overcome the challenges. We proposed a framework called Cascaded Deep Graphical Convolutional Neural Network (DCGCN, where Deep Convolutional Neural Network (DCnet) is used for computing unary and pairwise potential functions. A graphical model inference module is used for cascading unary and pairwise potentials. Evaluating the generated results via subjective and objective analysis, our DCDCN outperforms the state-of-the-art models in terms of accuracy and computational cost.

Citation Download Citation

Sartaj Ahmed Salman, Ali Zakir, and Hiroki Takahashi "Cascaded deep graphical convolutional neural network for 2D hand pose estimation", Proc. SPIE 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023, 1259215 (25 March 2023); https://doi.org/10.1117/12.2666956

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available