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OpenSurfaces: a richly annotated catalog of surface appearance

Authors:

Kavita BalaAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 32, Issue 4

Article No.: 111, Pages 1 - 17

https://doi.org/10.1145/2461912.2462002

Published: 21 July 2013 Publication History

Abstract

The appearance of surfaces in real-world scenes is determined by the materials, textures, and context in which the surfaces appear. However, the datasets we have for visualizing and modeling rich surface appearance in context, in applications such as home remodeling, are quite limited. To help address this need, we present OpenSurfaces, a rich, labeled database consisting of thousands of examples of surfaces segmented from consumer photographs of interiors, and annotated with material parameters (reflectance, material names), texture information (surface normals, rectified textures), and contextual information (scene category, and object names).

Retrieving usable surface information from uncalibrated Internet photo collections is challenging. We use human annotations and present a new methodology for segmenting and annotating materials in Internet photo collections suitable for crowdsourcing (e.g., through Amazon's Mechanical Turk). Because of the noise and variability inherent in Internet photos and novice annotators, designing this annotation engine was a key challenge; we present a multi-stage set of annotation tasks with quality checks and validation. We demonstrate the use of this database in proof-of-concept applications including surface retexturing and material and image browsing, and discuss future uses. OpenSurfaces is a public resource available at http://opensurfaces.cs.cornell.edu/.

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Li ZGan RLuo CWang YLiu JZhu ZLi QYin XZhang MZhang ZPeng JCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)MaterialSeg3D: Segmenting Dense Materials from 2D Priors for 3D AssetsProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3680757(370-379)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3680757
Oppenlaender JAbbas TGadiraju U(2024)The State of Pilot Study Reporting in Crowdsourcing: A Reflection on Best Practices and GuidelinesProceedings of the ACM on Human-Computer Interaction10.1145/36410238:CSCW1(1-45)Online publication date: 26-Apr-2024
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Liang HYeoh JChua D(2024)Material augmented semantic segmentation of point clouds for building elementsComputer-Aided Civil and Infrastructure Engineering10.1111/mice.13198Online publication date: 17-Apr-2024
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Index Terms

OpenSurfaces: a richly annotated catalog of surface appearance
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision

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Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 32, Issue 4

July 2013

1215 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/2461912

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Copyright © 2013 ACM.

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Publication History

Published: 21 July 2013

Published in TOG Volume 32, Issue 4

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Li ZGan RLuo CWang YLiu JZhu ZLi QYin XZhang MZhang ZPeng JCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)MaterialSeg3D: Segmenting Dense Materials from 2D Priors for 3D AssetsProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3680757(370-379)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3680757
Oppenlaender JAbbas TGadiraju U(2024)The State of Pilot Study Reporting in Crowdsourcing: A Reflection on Best Practices and GuidelinesProceedings of the ACM on Human-Computer Interaction10.1145/36410238:CSCW1(1-45)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3641023
Liang HYeoh JChua D(2024)Material augmented semantic segmentation of point clouds for building elementsComputer-Aided Civil and Infrastructure Engineering10.1111/mice.13198Online publication date: 17-Apr-2024
https://doi.org/10.1111/mice.13198
Guerrero‐Viu JSubias JSerrano AStorrs KFleming RMasia BGutierrez D(2024)Predicting Perceived Gloss: Do Weak Labels Suffice?Computer Graphics Forum10.1111/cgf.1503743:2Online publication date: 27-Apr-2024
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