Ismail Oner Sebe

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Recent advances in sensing and computing technologies have inspired a new generation of data analysis and visualization systems for video surveillance applications. We present a novel visualization system for video surveillance based on an Augmented Virtual Environment (AVE) that fuses dynamic imagery with 3D models in a real-time display to help observers(More)
An Augmented Virtual Environment (AVE) fuses dynamic imagery with 3D models. An AVE provides a unique approach to visualizing spatial relationships and temporal events that occur in real-world environments. A geometric scene model provides a 3D substrate for the visualization of multiple image sequences gathered by fixed or moving image sensors. The(More)
An intuitive and easy-to-use 3D modeling system has become more crucial with the rapid growth of computer graphics in our daily lives. Image-based modeling (IBM) has been a popular alternative to pure 3D modelers (e.g. 3D Studio Max, Maya) since its introduction in the late 1990s. However, IBM techniques are inherently very slow and rarely user friendly.(More)
In this paper, we illustrate an image-based modeling system that uses polyhedral convex hull representation of its input images. Our algorithm develops over Matusik [1] as a special case of convex objects. Although the formulation is same, convex objects have a lot of symmetric properties that general silhouettes do not have, such as rays cross a convex(More)
We present a video-based rendering (VBR) method that creates arbitrary views of the scene from images captured by a single un-calibrated camera. The system is model-based and focused on a single object class, specifically vehicles in this paper. The procedure has three main steps. First, the object is rapidly modeled from a single image using a simple(More)
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