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» Probabilistic Temporal Inference on Reconstructed 3D Scenes
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CVPR
2010
IEEE
14 years 1 months ago
Probabilistic Temporal Inference on Reconstructed 3D Scenes
Modern structure from motion techniques are capable of building city-scale 3D reconstructions from large image collections, but have mostly ignored the problem of largescale struc...
Grant Schindler, Frank Dellaert
HLK
2003
IEEE
13 years 10 months ago
Bayesian Reconstruction of 3D Shapes and Scenes From A Single Image
It’s common experience for human vision to perceive full 3D shape and scene from a single 2D image with the occluded parts “filled-in” by prior visual knowledge. In this pa...
Feng Han, Song Chun Zhu
BMVC
2002
13 years 7 months ago
Improving architectural 3D reconstruction by plane and edge constraining
This paper presents new techniques for improving the structural quality of automatically acquired architectural 3D models. Common architectural features like parallelism and ortho...
H. Cantzler, Robert B. Fisher, Michel Devy
ECCV
2002
Springer
14 years 6 months ago
A Probabilistic Theory of Occupancy and Emptiness
This paper studies the inference of 3D shape from a set of ? noisy photos. We derive a probabilistic framework to specify what one can infer about 3D shape for arbitrarily-shaped, ...
Rahul Bhotika, David J. Fleet, Kiriakos N. Kutulak...
CVPR
2012
IEEE
11 years 7 months ago
Joint 2D-3D temporally consistent semantic segmentation of street scenes
In this paper we propose a novel Conditional Random Field (CRF) formulation for the semantic scene labeling problem which is able to enforce temporal consistency between consecuti...
Georgios Floros, Bastian Leibe