Photogrammetry using structure from

Photogrammetry using structure from motion (SfM) techniques has evolved into a powerfultool for a variety of applications. Nevertheless, limits are imposed when two-media photogrammetry is needed, in cases such as submerged archaeological site documentation. Water refraction poses a clear limit on photogrammetric applications, especially when traditional methods and standardized pipelines are followed. This work tries to estimate the error introduced to depth measurements when no refraction correction model is used and proposes an easy to implement methodology in a modern photogrammetric workflow dominated by SfM and multi-view stereo (MVS) techniques. To be easily implemented within current software and workflow, this refraction correction approach is applied at the photo level. Results over two test sites in Cyprus against reference data suggest that despite the assumptions and approximations made the proposed algorithm can reduce the effect of refraction to two times the ground pixel size, regardless of the depth.

結果 (繁體中文) 1:

攝影測量使用來自運動結構（SFM）技術已經演變成一個強大的
tool for a variety of applications. Nevertheless, limits are imposed when two-media photogrammetry is needed, in cases such as submerged archaeological site documentation. Water refraction poses a clear limit on photogrammetric applications, especially when traditional methods and standardized pipelines are followed. This work tries to estimate the error introduced to depth measurements when no refraction correction model is used and proposes an easy to implement methodology in a modern photogrammetric workflow dominated by SfM and multi-view stereo (MVS) techniques. To be easily implemented within current software and workflow, this refraction correction approach is applied at the photo level. Results over two test sites in Cyprus against reference data suggest that despite the assumptions and approximations made the proposed algorithm can reduce the effect of refraction to two times the ground pixel size, regardless of the depth.

結果 (繁體中文) 2:

使用運動 （SfM） 技術的結構進行攝影測量已演變為強大的
適用于各種應用的工具。然而，當需要雙媒體攝影測量時，如淹沒考古遺址檔，則施加限制。水折射對攝影測量應用構成明確的限制，尤其是在採用傳統方法和標準化管道時。這項工作試圖估計在不使用折射校正模型時引入深度測量的誤差，並提出一種易於實現的方法，以 SfM 和多視圖立體 （MVS） 技術為主的現代攝影測量工作流中實現。為了便於在當前軟體和工作流程中實現，這種折射校正方法在照片級別應用。根據參考資料對賽普勒斯兩個測試點進行的結果表明，儘管進行了假設和近似值，但無論深度如何，建議的演算法都能將折射效果降低到地面圖元大小的兩倍。

結果 (繁體中文) 3:

使用運動結構（SfM）科技的攝影測量已經發展成為一種强大的
各種應用的工具。然而，當需要兩種媒體攝影測量時，如淹沒的考古現場檔案，則會施加限制。水折射對攝影測量的應用造成了明顯的限制，特別是在遵循傳統方法和標準筦道的情况下。本文試圖在不使用折射校正模型的情况下對深度量測引入的誤差進行估計，並在以SfM和多視點立體攝影（MVS）科技為主的現代攝影測量工作流程中提出一種易於實現的方法。為了在當前的軟件和工作流程中易於實現，該折射校正方法應用於照片級別。對比賽普勒斯兩個試驗點的參攷數據，結果表明，儘管進行了假設和近似，但無論深度如何，該算灋都可以將折射的影響减小到地面點數大小的兩倍。