NDLI: Out-of-Core Bundle Adjustment for Large-Scale 3D Reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Kai Ni Steedly, D. Dellaert, F.
Copyright Year	2007
Description	Author affiliation: Georgia Inst. of Technol., Atlanta (Kai Ni)
Abstract	Large-scale 3D reconstruction has recently received much attention from the computer vision community. Bundle adjustment is a key component of 3D reconstruction problems. However, traditional bundle adjustment algorithms require a considerable amount of memory and computational resources. In this paper, we present an extremely efficient, inherently out-of-core bundle adjustment algorithm. We decouple the original problem into several submaps that have their own local coordinate systems and can be optimized in parallel. A key contribution to our algorithm is making as much progress towards optimizing the global non-linear cost function as possible using the fragments of the reconstruction that are currently in core memory. This allows us to converge with very few global sweeps (often only two) through the entire reconstruction. We present experimental results on large-scale 3D reconstruction datasets, both synthetic and real.
Starting Page	1
Ending Page	8
File Size	3536641
Page Count	8
File Format	PDF
ISBN	9781424416301
ISSN	15505499
DOI	10.1109/ICCV.2007.4409085
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-14
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Large-scale systems Image reconstruction Layout Cameras Computer vision Cost function Earth Educational institutions Concurrent computing Application software
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

Out-of-core bundle adjustment for large-scale 3d reconstruction.

L/sub /spl infin// minimization in geometric reconstruction problems

A systematic approach for 2D-image to 3D-range registration in urban environments

3D reconstruction from image collections with a single known focal length

Towards geographical referencing of monocular SLAM reconstruction using 3D city models: Application to real-time accurate vision-based localization

Local Readjustment for High-Resolution 3D Reconstruction

Multiview Geometry for Texture Mapping 2D Images Onto 3D Range Data

Angle Independent Bundle Adjustment Refinement

Panoramic image acquisition

Out-of-Core Bundle Adjustment for Large-Scale 3D Reconstruction

Similar Documents

Out-of-core bundle adjustment for large-scale 3d reconstruction.

L/sub /spl infin// minimization in geometric reconstruction problems

A systematic approach for 2D-image to 3D-range registration in urban environments

3D reconstruction from image collections with a single known focal length

Towards geographical referencing of monocular SLAM reconstruction using 3D city models: Application to real-time accurate vision-based localization

Local Readjustment for High-Resolution 3D Reconstruction

Multiview Geometry for Texture Mapping 2D Images Onto 3D Range Data

Angle Independent Bundle Adjustment Refinement

Panoramic image acquisition

Out-of-Core Bundle Adjustment for Large-Scale 3D Reconstruction