Depth and RGB image alignment for hand gesture segmentation using Kinect
Zhaojie Ju, Yuehui Wang, Wei Zeng, Shengyong Chen, Honghai Liu · 2013
This paper introduces a novel method for the depth map and RGB image alignment for Kinect. Genetic algorithm is used to estimate the key points from both depth and RGB images, and this method is robust to the uncertainties of the extracted point numbers. The experimental results demonstrated that the proposed method is capable of precisely aligning the depth and RGB images, contributes a great improvement for hand gesture segmentation, and will potentially improve the performance of hand gesture recognition in Human-Computer Interaction (HCI).