An effective calibration procedure for correction of parallax unmatched image pairs

H. M. Wang, C. W. Chang, Jar-Ferr Yang

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

The stereo image pairs or two-view video sequences can be captured by two cameras at two horizontally different positions. If the stereo image pairs possess incompatible convergences of vertical parallax and horizontal parallax, human eyes generally cannot properly exhibit stereo visualisation. If the image pairs are taken from single camera or selected from a video sequence, perception of stereo visualisation will become even worse. The authors propose an effective calibration procedure to adjust the image pairs to achieve better stereo visualisation. The proposed calibration procedure contains six steps, including feature point extraction, bidirectional feature point matching, relative distance checking, image transformation, hole-filling and reshaping. Experimental results show that the proposed system can effectively adjust vertical and horizontal parallax such that the calibrated stereo image pairs can properly exhibit stereo scenes in stereoscopic display systems. Experimental results also reveal that the proposed method can achieve less vertical parallax than the existing rectification methods.

Original languageEnglish
Pages (from-to)63-74
Number of pages12
JournalIET Image Processing
Volume3
Issue number2
DOIs
Publication statusPublished - 2009 Mar 25

Fingerprint

Visualization
Calibration
Cameras
Feature extraction
Display devices

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

@article{116bc93f865a4558933fb501401cdd90,
title = "An effective calibration procedure for correction of parallax unmatched image pairs",
abstract = "The stereo image pairs or two-view video sequences can be captured by two cameras at two horizontally different positions. If the stereo image pairs possess incompatible convergences of vertical parallax and horizontal parallax, human eyes generally cannot properly exhibit stereo visualisation. If the image pairs are taken from single camera or selected from a video sequence, perception of stereo visualisation will become even worse. The authors propose an effective calibration procedure to adjust the image pairs to achieve better stereo visualisation. The proposed calibration procedure contains six steps, including feature point extraction, bidirectional feature point matching, relative distance checking, image transformation, hole-filling and reshaping. Experimental results show that the proposed system can effectively adjust vertical and horizontal parallax such that the calibrated stereo image pairs can properly exhibit stereo scenes in stereoscopic display systems. Experimental results also reveal that the proposed method can achieve less vertical parallax than the existing rectification methods.",
author = "Wang, {H. M.} and Chang, {C. W.} and Jar-Ferr Yang",
year = "2009",
month = "3",
day = "25",
doi = "10.1049/iet-ipr.2008.0046",
language = "English",
volume = "3",
pages = "63--74",
journal = "IET Image Processing",
issn = "1751-9659",
publisher = "Institution of Engineering and Technology",
number = "2",

}

An effective calibration procedure for correction of parallax unmatched image pairs. / Wang, H. M.; Chang, C. W.; Yang, Jar-Ferr.

In: IET Image Processing, Vol. 3, No. 2, 25.03.2009, p. 63-74.

Research output: Contribution to journalArticle

TY - JOUR

T1 - An effective calibration procedure for correction of parallax unmatched image pairs

AU - Wang, H. M.

AU - Chang, C. W.

AU - Yang, Jar-Ferr

PY - 2009/3/25

Y1 - 2009/3/25

N2 - The stereo image pairs or two-view video sequences can be captured by two cameras at two horizontally different positions. If the stereo image pairs possess incompatible convergences of vertical parallax and horizontal parallax, human eyes generally cannot properly exhibit stereo visualisation. If the image pairs are taken from single camera or selected from a video sequence, perception of stereo visualisation will become even worse. The authors propose an effective calibration procedure to adjust the image pairs to achieve better stereo visualisation. The proposed calibration procedure contains six steps, including feature point extraction, bidirectional feature point matching, relative distance checking, image transformation, hole-filling and reshaping. Experimental results show that the proposed system can effectively adjust vertical and horizontal parallax such that the calibrated stereo image pairs can properly exhibit stereo scenes in stereoscopic display systems. Experimental results also reveal that the proposed method can achieve less vertical parallax than the existing rectification methods.

AB - The stereo image pairs or two-view video sequences can be captured by two cameras at two horizontally different positions. If the stereo image pairs possess incompatible convergences of vertical parallax and horizontal parallax, human eyes generally cannot properly exhibit stereo visualisation. If the image pairs are taken from single camera or selected from a video sequence, perception of stereo visualisation will become even worse. The authors propose an effective calibration procedure to adjust the image pairs to achieve better stereo visualisation. The proposed calibration procedure contains six steps, including feature point extraction, bidirectional feature point matching, relative distance checking, image transformation, hole-filling and reshaping. Experimental results show that the proposed system can effectively adjust vertical and horizontal parallax such that the calibrated stereo image pairs can properly exhibit stereo scenes in stereoscopic display systems. Experimental results also reveal that the proposed method can achieve less vertical parallax than the existing rectification methods.

UR - http://www.scopus.com/inward/record.url?scp=62649084584&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=62649084584&partnerID=8YFLogxK

U2 - 10.1049/iet-ipr.2008.0046

DO - 10.1049/iet-ipr.2008.0046

M3 - Article

VL - 3

SP - 63

EP - 74

JO - IET Image Processing

JF - IET Image Processing

SN - 1751-9659

IS - 2

ER -