Kwang Ho An

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A human face provides a variety of different communicative functions such as identification, the perception of emotional expression, and lip-reading. For these reasons, many applications in robotics require tracking and recognizing a human face. A novel face recognition system should be able to deal with various changes in face images, such as pose,(More)
— The future interactive TV will automatically provide user-personalized services for each viewer. For the automatic user-personalized services, the interactive TV should recognize viewers and even their emotions or preferences. In this paper, we introduce a novel architecture of the future interactive TV and propose a real-time face analysis system that(More)
In this paper, we propose a system which reconstructs the environment with both color and 3D information. We perform extrinsic calibration of a camera and a LRF (Laser Range Finder) to fuse 3D information and color information of objects. We also formularize an equation to measure the result of the calibration. Moreover, we acquire 3D data by rotating 2D(More)
For face tracking in a video sequence, various face tracking algorithms have been proposed. However, most of them have a difficulty in finding the initial position and size of a face automatically. In this paper, we present a fast and robust method for fully automatic multi-view face detection and tracking. Using a small number of critical rectangle(More)
In this paper, we propose a method of selecting new types of rectangle features that are suitable for facial expression recognition. The basic concept in this paper is similar to Violar's approach, which is used for face detection. Instead of previous Haar-like rectangle features, we choose rectangle features for facial expression recognition among all(More)
In the last decade, face analysis, e.g. face recognition, face detection, face tracking and facial expression recognition, is a very lively and expanding research field. As computer animated agents and robots bring a social dimension to human computer interaction, interest in this research field is increasing rapidly. In this paper, we introduce an(More)
This paper presents a novel approach for face detection, which is based on the discriminative MspLBP features selected by a boosting technique called the Ada-LDA method. By scanning the face image with a scalable sub-window, many sub-regions are obtained from which the MspLBP features are extracted to describe the local structures of a face image. From a(More)
In this paper, a new Digital Image Stabilization (DIS) system is for humanoid eyes presented. This DIS system was biologically inspired by the human Vestibulo-Ocular Reflex (VOR) system, and is based on a KLT tracker and an Inertial Measurement Unit (IMU). In order to more accurately estimate the motion between two consecutive image frames, corresponding(More)
˰ For face tracking in a video sequence, various face tracking algorithms have been proposed. However, most of them have a difficulty in finding the initial position and size of a face automatically. In this paper, we present a fast and robust method for fully automatic multi-view face detection and tracking. Using a small number of critical rectangle(More)
– In this paper, a cognitive robotic system is introduced with emphasis on human-cognition functionalities such as face detection, tracking and recognition. The developed head-eye system has 12 degrees of freedom (DOF); two of these are for the neck, four for the two eyes and six DOF are for the facial components. The proposed robotic system is designed in(More)