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Robust and Efficient CPU-Based RGB-D Scene Reconstruction
2018
Sensors
3D scene reconstruction is an important topic in computer vision. A complete scene is reconstructed from views acquired along the camera trajectory, each view containing a small part of the scene. Tracking in textureless scenes is well known to be a Gordian knot of camera tracking, and how to obtain accurate 3D models quickly is a major challenge for existing systems. For the application of robotics, we propose a robust CPU-based approach to reconstruct indoor scenes efficiently with a consumer
doi:10.3390/s18113652
fatcat:6xzllz6v3rfrbpnb447f64cq5y