Indoor scene understanding from RGB-D images

Saurabh Gupta; Pablo Arbeláez; Ross Girshick; Jitendra Malik

doi:10.1002/sdtp.10285

Indoor scene understanding from RGB-D images

Saurabh Gupta, Pablo Arbeláez, Ross Girshick, Jitendra Malik

Research output: Contribution to journal › Conference article › peer-review

Abstract

Our goal is to be able to align objects in an RGB-D image with 3D models from a library. Our pipeline for this task involves detecting and segmenting objects and estimating coarse pose using a convolutional neural network, followed by inserting the rendered model in the scene.

Original language	English (US)
Pages (from-to)	87-90
Number of pages	4
Journal	Digest of Technical Papers - SID International Symposium
Volume	46
Issue number	Book 1
DOIs	https://doi.org/10.1002/sdtp.10285
State	Published - Jun 1 2015
Externally published	Yes
Event	2015 SID International Symposium - San Jose, United States Duration: Jun 2 2015 → Jun 3 2015

ASJC Scopus subject areas

General Engineering

Online availability

10.1002/sdtp.10285

Library availability

Discover UIUC Full Text

Cite this

@article{a9ed81288ba4499a89405c1a2011efd4,

title = "Indoor scene understanding from RGB-D images",

abstract = "Our goal is to be able to align objects in an RGB-D image with 3D models from a library. Our pipeline for this task involves detecting and segmenting objects and estimating coarse pose using a convolutional neural network, followed by inserting the rendered model in the scene.",

author = "Saurabh Gupta and Pablo Arbel{\'a}ez and Ross Girshick and Jitendra Malik",

note = "Publisher Copyright: {\textcopyright} 2015 SID.; 2015 SID International Symposium ; Conference date: 02-06-2015 Through 03-06-2015",

year = "2015",

month = jun,

day = "1",

doi = "10.1002/sdtp.10285",

language = "English (US)",

volume = "46",

pages = "87--90",

journal = "Digest of Technical Papers - SID International Symposium",

issn = "0097-966X",

publisher = "John Wiley & Sons, Ltd.",

number = "Book 1",

}

TY - JOUR

T1 - Indoor scene understanding from RGB-D images

AU - Gupta, Saurabh

AU - Arbeláez, Pablo

AU - Girshick, Ross

AU - Malik, Jitendra

PY - 2015/6/1

Y1 - 2015/6/1

N2 - Our goal is to be able to align objects in an RGB-D image with 3D models from a library. Our pipeline for this task involves detecting and segmenting objects and estimating coarse pose using a convolutional neural network, followed by inserting the rendered model in the scene.

AB - Our goal is to be able to align objects in an RGB-D image with 3D models from a library. Our pipeline for this task involves detecting and segmenting objects and estimating coarse pose using a convolutional neural network, followed by inserting the rendered model in the scene.

UR - http://www.scopus.com/inward/record.url?scp=84963665144&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84963665144&partnerID=8YFLogxK

U2 - 10.1002/sdtp.10285

DO - 10.1002/sdtp.10285

M3 - Conference article

AN - SCOPUS:84963665144

SN - 0097-966X

VL - 46

SP - 87

EP - 90

JO - Digest of Technical Papers - SID International Symposium

JF - Digest of Technical Papers - SID International Symposium

IS - Book 1

T2 - 2015 SID International Symposium

Y2 - 2 June 2015 through 3 June 2015

ER -

Indoor scene understanding from RGB-D images

Abstract

ASJC Scopus subject areas

Online availability

Library availability

Related links

Fingerprint

Cite this