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In this paper we show that a geometric representation of an object occurring in indoor scenes, along with rich scene structure can be used to produce a detector for that object in a single image. Using perspective cues from the global scene geometry, we first develop a 3D based object detector. This detector is competitive with an image based detector built(More)
In this paper we consider the problem of recovering the free space of an indoor scene from its single image. We show that exploiting the box like geometric structure of furniture and constraints provided by the scene, allows us to recover the extent of major furniture objects in 3D. Our " boxy " detector localizes box shaped objects oriented parallel to the(More)
We propose a method to realistically insert synthetic objects into existing photographs without requiring access to the scene or any additional scene measurements. With a single image and a small amount of annotation, our method creates a physical model of the scene that is suitable for realistically rendering synthetic objects with diffuse, specular, and(More)
We present a method for automatically creating compact and accurate 3D city models needed for enhanced Augmented Reality applications. The input data are panorama images and LIDAR scans collected at street level and positioned using an IMU and a GPS. Our method corrects for the GPS error and the IMU drift to produce a globally consistent and well registered(More)
We propose a visual recognition approach aimed at fast recognition of urban landmarks on a GPS-enabled mobile device. While most existing methods offload their computation to a server, the latency of an image upload over a slow network can be a significant bottleneck. In this paper, we investigate a new approach to mobile visual recognition that would(More)
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