NDLI: Understanding Indoor Scenes Using 3D Geometric Phrases

Content Provider	IEEE Xplore Digital Library
Author	Wongun Choi Yu-Wei Chao Pantofaru, C. Savarese, S.
Copyright Year	2013
Description	Author affiliation: Google, Mountain View, CA, USA (Pantofaru, C.) \|\| Univ. of Michigan, Ann Arbor, MI, USA (Wongun Choi; Yu-Wei Chao; Savarese, S.)
Abstract	Visual scene understanding is a difficult problem interleaving object detection, geometric reasoning and scene classification. We present a hierarchical scene model for learning and reasoning about complex indoor scenes which is computationally tractable, can be learned from a reasonable amount of training data, and avoids oversimplification. At the core of this approach is the 3D Geometric Phrase Model which captures the semantic and geometric relationships between objects which frequently co-occur in the same 3D spatial configuration. Experiments show that this model effectively explains scene semantics, geometry and object groupings from a single image, while also improving individual object detections.
Starting Page	33
Ending Page	40
File Size	1131471
Page Count	8
File Format	PDF
ISBN	9780769549897
ISSN	10636919
DOI	10.1109/CVPR.2013.12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Layout Three-dimensional displays Semantics Object detection Estimation Solid modeling Training
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Holistic Scene Understanding for 3D Object Detection with RGBD Cameras

Understanding Bayesian Rooms Using Composite 3D Object Models

Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors

Support Surface Prediction in Indoor Scenes

Bayesian geometric modeling of indoor scenes

3DNN: Viewpoint Invariant 3D Geometry Matching for Scene Understanding

Mesh Based Semantic Modelling for Indoor and Outdoor Scenes

Detailed 3D Model Driven Single View Scene Understanding

Holistic 3D scene understanding from a single geo-tagged image

Understanding Indoor Scenes Using 3D Geometric Phrases

Similar Documents

Holistic Scene Understanding for 3D Object Detection with RGBD Cameras

Understanding Bayesian Rooms Using Composite 3D Object Models

Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors

Support Surface Prediction in Indoor Scenes

Bayesian geometric modeling of indoor scenes

3DNN: Viewpoint Invariant 3D Geometry Matching for Scene Understanding

Mesh Based Semantic Modelling for Indoor and Outdoor Scenes

Detailed 3D Model Driven Single View Scene Understanding

Holistic 3D scene understanding from a single geo-tagged image

Understanding Indoor Scenes Using 3D Geometric Phrases