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Commit d960985b authored by Danny Griffin's avatar Danny Griffin
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passive re-wording

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...@@ -41,18 +41,23 @@ However, it's essential to note that photogrammetry lacks inherent scale. Withou ...@@ -41,18 +41,23 @@ However, it's essential to note that photogrammetry lacks inherent scale. Withou
<p><img src="images/may_alexander_analog_photogrammetry.jpg" alt="Analog Photogrammetry"></p> <p><img src="images/may_alexander_analog_photogrammetry.jpg" alt="Analog Photogrammetry"></p>
*Intrinsics and extrinsics parameters*
Intrinsic parameters describe the properties of a camera's lens and sensor
Extrinsic parameters describe the camera's position and orientation in 3D space
<p>Groundwork camera properties and standards for USGS photgrammetry surveys.</p> Cameras were applied to photogrammetry as early as 1973, such as in
<a href="https://www.sciencedirect.com/science/article/abs/pii/0031866373900069">Welch 1973</a> [Imaging characteristics of photogrammetric camera systems](https://www.sciencedirect.com/science/article/abs/pii/0031866373900069)
, an early paper describing groundwork camera properties and standards for USGS (United States Geological Survey) photgrammetry surveys.
When describing photogrammetric camera systems, the following terminology are used to characterize systems: <br>
*Intrinsics and extrinsics parameters*<br>
Intrinsic parameters describe the properties of a camera's lens and sensor. <br>
Extrinsic parameters describe the camera's position and orientation in 3D space
Today:
[Levenberg–Marquardt algorithm](https://en.wikipedia.org/wiki/Levenberg%E2%80%93Marquardt_algorithm) or damped least-squares algorithm (dls) are used to minimize the error across 3d coordinates. This procedure is typically called [bundle adjustment](https://en.wikipedia.org/wiki/Bundle_adjustment). [Levenberg–Marquardt algorithm](https://en.wikipedia.org/wiki/Levenberg%E2%80%93Marquardt_algorithm) or damped least-squares algorithm (dls) are used to minimize the error across 3d coordinates. This procedure is typically called [bundle adjustment](https://en.wikipedia.org/wiki/Bundle_adjustment).
While the analog versions of these techniques have waned in popularity, stereophotogrammetry still has applications for capturing dynamic characteristics of previously difficult to measure systems like running <a href="https://www.spiedigitallibrary.org/conference-proceedings-of-spie/8348/1/Dynamic-characteristics-of-a-wind-turbine-blade-using-3D-digital/10.1117/12.915377.short?SSO=1">wind turbines</a>.</p> While the analog versions of these techniques have waned in popularity, stereophotogrammetry still has applications for capturing dynamic characteristics of previously difficult to measure systems like running [wind turbines](https://www.spiedigitallibrary.org/conference-proceedings-of-spie/8348/1/Dynamic-characteristics-of-a-wind-turbine-blade-using-3D-digital/10.1117/12.915377.short?SSO=1).
When is it useful? When is it useful?
Photogrammetry is useful for outdoors settings, where all you need is a handheld camera and some patience. In this example, note the loss of quality towards the top, as pixel resolution becomes problematic: Photogrammetry is useful for outdoors settings, where all you need is a handheld camera and some patience. In this example, note the loss of quality towards the top, as pixel resolution becomes problematic:
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