Kwang Ho An

About

Kwang Ho An is a researcher in computer vision and robotics, with a primary focus on face recognition and head tracking. His major contributions lie in developing pose-robust face recognition systems that can handle variations in head orientation, a critical challenge for real-world applications. In his most-cited work, "3D head tracking and pose-robust 2D texture map-based face recognition using a simple ellipsoid model" (2008, 45 citations), An introduced a novel method that uses a simple ellipsoid model to track 3D head movements and map 2D textures for reliable recognition. This approach enables robots to identify faces and perceive emotional expressions or lip-reading cues, even as the subject moves. His related paper, "Pose-robust face recognition based on texture mapping" (2008), further explores how texture mapping can overcome changes in face images due to varying poses. An's work is notable for its practical impact on human-robot interaction, where robust face recognition is essential for communication and identification. With 45 citations on his top paper, his research continues to influence advancements in assistive robotics and autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   3D head tracking and pose-robust 2D texture map-based face recognition using a simple ellipsoid model

   45 citations · 2008
2. 2
   Pose-robust face recognition based on texture mapping

   3 citations · 2008

Key Collaborators

Contact & Links