Tjahjadi, Martinus Edwin and Handoko, Fourry (2017) Precise Wide Baseline Stereo Image Matching for Compact Digital Cameras. Proc. EECSI 2017, Yogyakarta, Indonesia. pp. 19-21.
![[img]](http://eprints.itn.ac.id/style/images/fileicons/text.png) |
Text
1015-1725-1-SM.pdf Download (944kB) |
Abstract
Abstract— Numerous image matching methods for wide range of applications have been invented in the last decade. When high precision and reliability of the object space point coordinates is highly demanding, a stereo image matching method which can produce conjugate point of images and a standard deviation of the matched point is examined. In this approach, image gradients are used locally to seek a conjugate patch. The normalized cross correlation is first utilized to estimate an approximate location of the conjugate patch between two normalized images. Then the location of conjugate patch is further refined by using Gaussian-Newton least squares image matching. Both radiometric and geometric parameters of least squares models are used selectively in seeking the best possible accuracy. Iterative computation is conducted to incrementally refine the geometric location of the conjugate point. After a matched patch has been found, a variant-covariant matrix of the parameter is analyzed to inform the precision of the conjugate points both on images and object space. This method can compute high precision object space points and some examples demonstrate the insight of the approach.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Image Matching; Rectification; Least Squares Adjustment; Stereo pair; image processing |
| Subjects: | Engineering > Geodesy Engineering |
| Divisions: | Fakultas teknik Sipil dan Perencanaan > Teknik Geodesi S1 |
| Depositing User: | Susi Rahmania |
| Date Deposited: | 26 Mar 2019 01:37 |
| Last Modified: | 26 Mar 2019 01:37 |
| URI: | http://eprints.itn.ac.id/id/eprint/2853 |
Actions (login required)
 |
View Item |
