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The popularity of mobile photography paves the way to create new ways of viewing, interacting and enabling a user's creative expression with personal media. In this paper, we describe an instantaneous and automatic method to localize the camera and enable segmentation of foreground objects such as people from an input image, assuming knowledge of the environment in which the image was taken. Camera...
We describe an augmented reality prototype for exploring a 3D urban environment on mobile devices. Our system utilizes the location and orientation sensors on the mobile platform as well as computer vision techniques to register the live view of the device with the 3D urban data. In particular, the system recognizes the buildings in the live video, tracks the camera pose, and augments the video with...
We describe an augmented reality prototype for exploring a 3D urban environment on mobile devices. Our system utilizes the location and orientation sensors on the mobile platform as well as computer vision techniques to register the live view of the device with the 3D urban data. In particular, the system recognizes the buildings in the live video, tracks the camera pose, and augments the video with...
In this paper, we present a large-scale mobile augmented reality system that recognizes the buildings in the mobile device's live video and registers this live view with the 3-dimensional models of the buildings. Having the camera pose estimated and tracked, the system adds relevant information about the buildings to the video in the correct perspective. We demonstrate the system on a large database...
Estimating the 3D orientation of the camera in a video sequence within a global frame of reference is useful for video stabilization when displaying the video in a virtual 3D environment, as well as for accurate navigation and other applications. This task requires the input of orientation sensors attached to the camera to provide absolute 3D orientation in a geographical frame of reference. However,...
We discuss the problem of fusing the information in a video stream with synchronized streams of location and orientation data obtained from sensors attached to the video camera. We are interested in using this information for the reconstruction of camera trajectory and observed scenery from consumer videos with the objective of visualizing those in a 3D virtual environment. We review existing literature...
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