Recovering Surface Layout from an Image
International Journal of Computer Vision
3-D Depth Reconstruction from a Single Still Image
International Journal of Computer Vision
A new room decoration assistance system based on 3D reconstruction and integrated service
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Learning Bayesian network parameters under incomplete data with domain knowledge
Pattern Recognition
Make3D: depth perception from a single still image
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Depth estimation using monocular and stereo cues
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A new gaussian mixture conditional random field model for indoor image labeling
IMCE '09 Proceedings of the 1st international workshop on Interactive multimedia for consumer electronics
A new localized superpixel Markov random field for image segmentation
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Accurate 3D ground plane estimation from a single image
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Distributed sensor analysis for fault detection in tightly-coupled multi-robot team tasks
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
3D reconstruction of indoor and outdoor building scenes from a single image
Proceedings of the 2010 ACM workshop on Surreal media and virtual cloning
Blocks world revisited: image understanding using qualitative geometry and mechanics
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
A close-form iterative algorithm for depth inferring from a single image
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Single and sparse view 3D reconstruction by learning shape priors
Computer Vision and Image Understanding
Real-time estimation of 3D scene geometry from a single image
Pattern Recognition
Depth extraction from video using non-parametric sampling
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Human-centric indoor environment modeling from depth videos
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Multiple ground plane estimation for 3D scene understanding using a monocular camera
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
21/2D scene reconstruction of indoor scenes from single RGB-D images
CCIW'13 Proceedings of the 4th international conference on Computational Color Imaging
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When we look at a picture, our prior knowledge about the world allows us to resolve some of the ambiguities that are inherent to monocular vision, and thereby infer 3d information about the scene. We also recognize different objects, decide on their orientations, and identify how they are connected to their environment. Focusing on the problem of autonomous 3d reconstruction of indoor scenes, in this paper we present a dynamic Bayesian network model capable of resolving some of these ambiguities and recovering 3d information for many images. Our model assumes a "floorwall" geometry on the scene and is trained to recognize the floor-wall boundary in each column of the image. When the image is produced under perspective geometry, we show that this model can be used for 3d reconstruction from a single image. To our knowledge, this was the first monocular approach to automatically recover 3d reconstructions from single indoor images.