Face recognition under viewpoint and illumination changes is a difficult problem, so many researchers have tried to solve this problem by producing the pose- and illumination- invariant feature. Zhu et al.  changed all arbitrary pose and illumination images to the frontal view image to use for the invariant feature. In this scheme, preserving identity… (More)
In this paper, we present a novel attentive and immersive user interface based on gaze and hand gestures for interactive large-scale displays. The combination of gaze and hand gestures provide more interesting and immersive ways to manipulate 3D information.
The paper presents a novel user interface combining bare hands and the line of sight (LoS) by using a depth camera from far distance without any handheld devices; as well as a 3D GUI providing both stereoscopy and motion parallax for smart displays. The proposed user interface provides a precise and convenient manipulation which is applicable to browsing… (More)
This paper presents a simple, yet powerful local image descriptor, called the histograms of dominant orientations (HDO). The HDO consists of two components, namely the dominant orientation and its coherence, which represents how intensively gradients in the local region are distributed along the dominant orientation. For a given image patch, we incorporate… (More)
In this paper, we present a new web browsing system, Seamless Browser, for fast link traversal on a large screen like TV In navigating web, users mainly suffer from cognitive overhead of determining whether or not to follow links. This overhead can be reduced by providing preview information of the destination of links, and also by providing semantic cues… (More)
As the expressive depth of an emotional face differs with individuals, expressions, or situations, recognizing an expression using a single facial image at a moment is difficult. One of the approaches to alleviate this difficulty is using a video-based method that utilizes multiple frames to extract temporal information between facial expression images. In… (More)
This paper presents a novel method which combines global shape parameters and scalable local descriptors for accurate body parts recognition from a single depth image in real-time. Human poses are of extremely large variation in aspects of visual shapes, because human can take poses from daily activities to gymnastic actions. In order to cover wide-range of… (More)
In this paper, we present a real-time prototype of a robot boxing game based on a novel interaction method which provides a simpler control for a miniature humanoid. Specifically, an upper body of the robot mimics a user's upper body motion, while a lower body of the robot moves autonomously towards a target object (an opponent robot). To the best of our… (More)