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This work presents a real-time, data-parallel approach for global label assignment on regular grids. The labels are selected according to a Markov random field energy with a Potts prior term for binary interactions. We apply the proposed method to accelerate the clean-up step of a real-time dense stereo method based on plane sweeping with multiple sweeping(More)
The paper presents a system for automatic, geo-registered, real-time 3D reconstruction from video of urban scenes. The system collects video streams, as well as GPS and inertia measurements in order to place the reconstructed models in geo-registered coordinates. It is designed using current state of the art real-time modules for all processing steps. It(More)
This paper introduces an approach for dense 3D reconstruction from unregistered Internet-scale photo collections with about 3 million images within the span of a day on a single PC (" cloudless "). Our method advances image clustering, stereo, stereo fusion and structure from motion to achieve high computational performance. We leverage geometric and(More)
Piecewise planar models for stereo have recently become popular for modeling indoor and urban outdoor scenes. The strong planarity assumption overcomes the challenges presented by poorly textured surfaces, and results in low complexity 3D models for rendering, storage, and transmission. However, such a model performs poorly in the presence of non-planar(More)
This paper introduces a multi-view stereo matcher that generates depth in real-time from a monocular video stream of a static scene. A key feature of our processing pipeline is that it estimates global camera gain changes in the feature tracking stage and efficiently compensates for these in the stereo stage without impacting the real-time performance. This(More)
(a) Input image sequence (b) Foreground points of SfM (c) Dense reconstruction (d) Synthetic aperture Figure 1: We investigate reconstruction from image sequence with very small motion as shown in (a), where the motion between images are hard to observe. (b) and (c) shows our reconstruction results and our method leads to interesting applications such as(More)
1 1 De partm e n t o f C o m pute r S c ie n c e 2 C e n te r fo r V is ualiz atio n an d V irtual E n viro n m e n ts U n ive rs ity o f N o rth C aro lin a U n ive rs ity o f K e n tuc k y A b stract Recent research has focused on systems for obtaining automatic 3 D reconstructions of urban env ironments from v ideo acq uired at street lev el. T hese(More)
We present an approach for automatic 3D reconstruction of outdoor scenes using computer vision techniques. Our system collects video, GPS and INS data which are processed in real-time to produce geo-registered, detailed 3D models that represent the geometry and appearance of the world. These models are generated without manual measurements or markers in the(More)
Stereoscopic 3D has gained significant importance in the entertainment industry. However, production of high quality stereoscopic content is still a challenging art that requires mastering the complex interplay of human perception, 3D display properties, and artistic intent. In this paper, we present a computational stereo camera system that closes the(More)
We present a novel method for 3D reconstruction of urban scenes extending a recently introduced heightmap model. Our model has several advantages for 3D modeling of urban scenes: it naturally enforces vertical surfaces, has no holes, leads to an efficient algorithm, and is compact in size. We remove the major limitation of the heightmap by enabling modeling(More)