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Label Efficient 3D Scene Understanding

, 2022
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Scene understanding and 3D model reconstruction

Scene understanding and 3D model reconstruction
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3D Scene Understanding by Voxel-CRF

2013 IEEE International Conference on Computer Vision, 2013
Scene understanding is an important yet very challenging problem in computer vision. In the past few years, researchers have taken advantage of the recent diffusion of depth-RGB (RGB-D) cameras to help simplify the problem of inferring scene semantics. However, while the added 3D geometry is certainly useful to segment out objects with different depth ...
Byung-soo Kim, Pushmeet Kohli, Silvio Savarese   +2 more
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3D Traffic Scene Understanding From Movable Platforms [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014
In this paper, we present a novel probabilistic generative model for multi-object traffic scene understanding from movable platforms which reasons jointly about the 3D scene layout as well as the location and orientation of objects in the scene. In particular, the scene topology, geometry, and traffic activities are inferred from short video sequences.
Andreas Geiger, Raquel Urtasun, Christoph Stiller   +2 more
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Exploiting Physical Inconsistencies for 3D Scene Understanding

2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission, 2012
Reliable 3D object tracking can provide strong cues for scene understanding. In this paper we exploit inconsistencies between measured 3D trajectories and their predictions using a physical model. In a set of proof-of-concept experiments we show how to retrieve the camera rotation and translation and how to detect surfaces that are hard to visually ...
Andrea Fossati, Helmut Grabner, Luc Van Gool   +2 more
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Creating and understanding 3D annotated scene meshes

SIGGRAPH Asia 2019 Courses, 2019
Deep learning requires availability of massive 3D data.How to acquire 3D scenes efficiently?
Duc Thanh Nguyen, Quang-Hieu Pham, Binh-Son Hua   +2 more
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