Next Article in Journal
Photoacoustic Techniques for Trace Gas Sensing Based on Semiconductor Laser Sources
Previous Article in Journal
Data Centric Sensor Stream Reduction for Real-Time Applications in Wireless Sensor Networks
Article Menu

Export Article

Open AccessArticle
Sensors 2009, 9(12), 9629-9665; doi:10.3390/s91209629

Bundle Block Adjustment with 3D Natural Cubic Splines

Department of Civil and Environmental Engineering, Seoul National University, 599 Gwanak-ro, Gwanak-gu, Seoul 151-742, Korea
Author to whom correspondence should be addressed.
Received: 12 October 2009 / Accepted: 15 November 2009 / Published: 2 December 2009
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [947 KB, uploaded 21 June 2014]   |  


Point-based methods undertaken by experienced human operators are very effective for traditional photogrammetric activities, but they are not appropriate in the autonomous environment of digital photogrammetry. To develop more reliable and accurate techniques, higher level objects with linear features accommodating elements other than points are alternatively adopted for aerial triangulation. Even though recent advanced algorithms provide accurate and reliable linear feature extraction, the use of such features that can consist of complex curve forms is more difficult than extracting a discrete set of points. Control points that are the initial input data, and break points that are end points of segmented curves, are readily obtained. Employment of high level features increases the feasibility of using geometric information and provides access to appropriate analytical solutions for advanced computer technology. View Full-Text
Keywords: bundle block adjustment; 3D natural cubic splines; arc-length parameterization; linear features; line photogrammetry bundle block adjustment; 3D natural cubic splines; arc-length parameterization; linear features; line photogrammetry

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Lee, W.H.; Yu, K. Bundle Block Adjustment with 3D Natural Cubic Splines. Sensors 2009, 9, 9629-9665.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top