Photogrammetric Area-Based Least Square Image Matching for Surface Reconstruction

Tjahjadi, Martinus Edwin (2017) Photogrammetric Area-Based Least Square Image Matching for Surface Reconstruction. ELEKTRIKA, 01 (01).

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Abstract

Abstract—In computer vision and robotics community, a normalized cross correlation image matching is widely known as a robust method to determine conjugate points between two overlapping images. In photogrammetric community, however, this method is less favor due to stringent requirements of precision. To achieve such a high standard, a least square adjustment is utilized to minimize a cost function of the image matching process, and then the sum of the residual errors of the cost function is employed to judge the precision and reliability of the match. This paper elaborates the least square image matching adjustment to match conjugate points for surface reconstructions in a highly convergent imaging network or in a wide baseline of stereo images.

Item Type: Article
Uncontrolled Keywords: Key-words: surface reconstruction, image matching, leastsquare, photogrammetry
Subjects: Engineering > Geodesy Engineering
Divisions: Fakultas teknik Sipil dan Perencanaan > Teknik Geodesi S1
Depositing User: Susi Rahmania
Date Deposited: 26 Mar 2019 01:38
Last Modified: 26 Mar 2019 01:38
URI: http://eprints.itn.ac.id/id/eprint/2856

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