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This paper proposes a new wearable eye-gaze tracking system with a single webcam mounted on the glasses. First, the region of interest (ROI) of eye is extracted by skin detection and eyelid removing. Then Hough circle detection is used to search the candidate of circles in the eye's ROI and applied to determine the status of opening or closing of eye. Based on the circle detection, the eye center...
A semi-automatic image-based approach for city street modeling was proposed, which takes two types of images as input. One is an orthogonal aerial image of the area of interest and the other is a set of street-view spherical panoramic images. This paper focuses on the accuracy enhancement of camera trajectory recovery, which is crucial in registering two types of image sources. Scale-invariant Feature...
This paper presents a novel method for generating multi-view video. The video can be viewed without wearing a pair of glasses which is more suitable for outdoor bulletin board of kiosk applications. One of the major aspects of the new method is that the depth estimation is not required. Hence, no depth warp induced holes will be introduced. Our method first extracts feature correspondence from a Left/Right...
Aerial images and ground-level images are two major types of image sources used by many existing image-based urban 3D modeling approaches. Due to the rapid development on hardware and camera technologies, panoramic images have become widely accessible and they have many advantages in supporting the 3D reconstruction tasks. In this paper, we have proposed an automatic image registration approach to...
In the recent applications of virtual reality and augmented reality, panoramic-image-based representation of real world environments has received much attention for its advantages over the traditional 3D modeling approaches, such as shorter generation times, faster rendering speeds, higher photorealism, and less storage needed. The drawback is however that it stores only static information of the...
Advanced computer dialogue agents contain a natural language understanding component that requires knowledge of semantic classes and concepts. These are frequently generated manually for new tasks. We avoid this time-consuming procedure by using a two-step unsupervised clustering process. First, a semantic generalizer automatically induces semantic classes using training data from well-studied applications...
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