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  5. 3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera

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Preprint
en
2019

3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera

0 Datasets

0 Files

en
2019
DOI: 10.1109/iccv.2019.00576

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Jitendra Malik
Jitendra Malik

University of California, Berkeley

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Iro Armeni
Zhiyang He
JunYoung Gwak
+4 more

Abstract

A comprehensive semantic understanding of a scene is important for many applications - but in what space should diverse semantic information (e.g., objects, scene categories, material types, texture, etc.) be grounded and what should be its structure? Aspiring to have one unified structure that hosts diverse types of semantics, we follow the Scene Graph paradigm in 3D, generating a 3D Scene Graph. Given a 3D mesh and registered panoramic images, we construct a graph that spans the entire building and includes semantics on objects (e.g., class, material, and other attributes), rooms (e.g., scene category, volume, etc.) and cameras (e.g., location, etc.), as well as the relationships among these entities. However, this process is prohibitively labor heavy if done manually. To alleviate this we devise a semi-automatic framework that employs existing detection methods and enhances them using two main constraints: I. framing of query images sampled on panoramas to maximize the performance of 2D detectors, and II. multi-view consistency enforcement across 2D detections that originate in different camera locations.

How to cite this publication

Iro Armeni, Zhiyang He, JunYoung Gwak, Amir Zamir, Martin Fischer, Jitendra Malik, Silvio Savarese (2019). 3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera. , DOI: https://doi.org/10.1109/iccv.2019.00576.

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Publication Details

Type

Preprint

Year

2019

Authors

7

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1109/iccv.2019.00576

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