Please log in the https://www.zmeeting.org/submission/iccip2024; ( .pdf only) to submit. Select Special Session Track 9.
Hai Huang, Beijing University of Posts and Telecommunications, China
Ming Meng, Communication University of China, China
Computer vision (CV) is one of the fundamental technologies for immersive virtual reality (VR) and augmented reality (AR) systems, in which cameras are often used to capture the real-world information. Sensor-captured imaging and related intelligent processing algorithms support 3D reconstruction, scene understanding, gesture recognition, eye tracking, object detection and tracking, etc., all of which contribute to creating a more realistic, interactive and fascinating virtual world.
This track is open to multidisciplinary research on the convergence of CV, VR and AR. It covers original research articles, reviews, and communication surveys in the described domain that include but are not limited to the following topics:
Deep learning in image processing
Image segmentation
Object detection and recognition
Vision-based tracking and sensing
Pose estimation
Human-computer interaction
3D reconstruction and computer graphics
SLAM
Scene understanding
Augmented reality
Emerging VR/AR applications and systems based on CV technologies