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V. Couture, N. Martin, S. Roy. Unstructured Light Scanning to Overcome Interreflections, International Conference on Computer Vision (ICCV), 2011.
V. Couture, M.S. Langer, S. Roy. Panoramic Stereo Video Textures, International Conference on Computer Vision (ICCV), 2011.
Abstract An omnistereo pair of images enables depth perception all around the observer. Because omnistereo lenses or mirrors do not yet exist, capturing an omnistereo video would require using several stereo cameras at different baseline orientations. This paper presents a … Continue reading
Abstract I this paper we address the problem of geometric calibration of video projectors. Like in most previous methods we also use a camera that observes the projection on a planar surface. Contrary to those previous methods, we neither require … Continue reading
This paper presents a new system for tridimensional virtual drawing relying on an infrared pen observed by a number of surrounding cameras. Nintendo wiimotes are used as cameras to provide reliable real-time tracking information. Continue reading
Abstract In this paper we address the problem of geometric video projector calibration using a markerless planar surface (wall) and a partially calibrated camera. Instead of using control points to infer the camera-wall orientation, we find such relation by efficiently … Continue reading
Abstract Linear or 1D cameras are used in several areas such as industrial inspection and satellite imagery.Since 1D cameras consist of a linear sensor, a motion (usually perpendicular to the sensor orientation) is performed in order to acquire a full … Continue reading
In this paper, we propose to rely only on images to generate novel views, and recall why modeling of the complete scene is often too expensive in the context of view interpolation. We investigate ways to achieve view interpolation by mean of forward and backward mapping. We present situations in which each one requires less computations and gives better results. Contrary to what we might expect, very simple stereo algorithms can produce very convincing interpolation despite providing really bad disparity maps. We propose to explain this with a probabilistic model of depth discontinuities. We test this model on synthetic data created to fit real image statistics and compare with images widely used in stereo. In practice, forward and backward mapping methods can rely on simple stereo algorithms running in real time, to produce very good results. A sequence of real images was acquired to allow accurate comparison of interpolated images, and standard metrics are used to assess the quality.
Abstract We present an algorithm for plane-based self-calibration of cameras with radially symmetric distortions given a set of sparse feature matches in at least two views. The projection function of such cameras can be seen as a projection with a … Continue reading