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Joint 3D Object and Layout Inference from a Single RGB-D Image
[chapter]
2015
Lecture Notes in Computer Science
Inferring 3D objects and the layout of indoor scenes from a single RGB-D image captured with a Kinect camera is a challenging task. Towards this goal, we propose a high-order graphical model and jointly reason about the layout, objects and superpixels in the image. In contrast to existing holistic approaches, our model leverages detailed 3D geometry using inverse graphics and explicitly enforces occlusion and visibility constraints for respecting scene properties and projective geometry. We
doi:10.1007/978-3-319-24947-6_15
fatcat:yg4mq7f2vnajnoc2r6gf3bbqcu