Preliminary tests on non-metric camera self-calibration by using wavelet additional parameters

Jun Fu Ye, Jaan Rong Tsay

Research output: Contribution to conferencePaperpeer-review

Abstract

Camera self-calibration is the most famous and flexible technique in the field of photogrammetry to estimate the lens distortion of cameras. Over the past decades, many algebraic polynomial additional parameter models have been proposed to calibrate analogue cameras. These traditional additional parameter models are also used to calibrate diverse modern new types of digital cameras although they might not be adequate to express their lens distortion accurately. Moreover, many traditional additional parameters might be highly correlated with interior orientation parameters or other correction parameters. In our previous preliminary studies, a new camera self-calibration technique has been designed based on wavelet additional parameters (WAPs), and this model is helpful to express and correct the systematic distortion errors of images taken by metric digital cameras. Also, some preliminary tests for non-metric cameras are shown and discussed in this paper.

Original languageEnglish
Publication statusPublished - 2020 Jan 1
Event40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019 - Daejeon, Korea, Republic of
Duration: 2019 Oct 142019 Oct 18

Conference

Conference40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019
CountryKorea, Republic of
CityDaejeon
Period19-10-1419-10-18

All Science Journal Classification (ASJC) codes

  • Information Systems

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