Photogrammetry

Photogrammetry is the practice of determining the geometric properties of objects from photographic images. Photogrammetry is as old as modern photography and can be dated to the mid-nineteenth century.

In the simplest example, the distance between two points that lie on a plane parallel to the photographic image plane can be determined by measuring their distance on the image, if the scale (s) of the image is known. This is done by multiplying the measured distance by 1/s.

A more sophisticated technique, called stereophotogrammetry, involves estimating the three-dimensional coordinates of points on an object. These are determined by measurements made in two or more photographic images taken from different positions (see stereoscopy). Common points are identified on each image. A line of sight (or ray) can be constructed from the camera location to the point on the object. It is the intersection of these rays (triangulation) that determines the three-dimensional location of the point. More sophisticated algorithms can exploit other information about the scene that is known a priori, for example symmetries, in some cases allowing reconstructions of 3D coordinates from only one camera position.

Photogrammetry is used in different fields, such as topographic mapping, architecture, engineering, manufacturing, quality control, police investigation, and geology, as well as by archaeologists to quickly produce plans of large or complex sites and by meteorologists as a way to determine the actual wind speed of a tornado where objective weather data cannot be obtained. It is also used to combine live action with computer-generated imagery in movie post-production; Fight Club is a good example of the use of photogrammetry in film (details are given in the DVD extras).

Algorithms for photogrammetry typically express the problem as that of minimizing the sum of the squares of a set of errors. This minimization is known as bundle adjustment and is often performed using the Levenberg–Marquardt algorithm.

Photogrammetric methods

File:Photogrammetry Wiora EN.svg

Georg Wiora's data model of photogrammetry [1]

Photogrammetry uses methods from many disciplines, including optics and projective geometry. The data model on the right shows what type of information can go into and come out of photogrammetric methods.

The 3D co-ordinates define the locations of object points in the 3D space. The image co-ordinates define the locations of the object points' images on the film or an electronic imaging device. The exterior orientation of a camera defines its location in space and its view direction. The inner orientation defines the geometric parameters of the imaging process. This is primarily the focal length of the lens, but can also include the description of lens distortions. Further additional observations play an important role: With scale bars, basically a known distance of two points in space, or known fix points, the connection to the basic measuring units is created.

Each of the four main variables can be an input or an output of a photogrammetric method.

Photogrammetry has been defined by the American Society for Photogrammetry and Remote Sensing (ASPRS) as the art, science, and technology of obtaining reliable information about physical objects and the environment through processes of recording, measuring and interpreting photographic images and patterns of recorded radiant electromagnetic energy and other phenomena.

Integration

Photogrammetric data with dense range data from scanners complement each other. Photogrammetry is more accurate in the x and y direction while range data is generally more accurate in the z direction. This range data can be supplied by techniques like LiDAR, laser scanners (using time of flight, triangulation or interferometry), white-light digitizers and any other technique that scans an area and returns x, y, z coordinates for multiple discrete points (commonly called "point clouds"). Photos can clearly define the edges of buildings when the point cloud footprint can not. It is beneficial to incorporate the advantages of both systems and integrate them to create a better product.

A 3D visualization can be created by georeferencing the aerial photos and LiDAR data in the same reference frame, orthorectifying the aerial photos, and then draping the orthorectified images on top of the LiDAR grid. It is also possible to create digital terrain models and thus 3D visualisations using pairs (or multiples) of aerial photographs or satellite (e.g. SPOT satellite imagery). Techniques such as adaptive least squares stereo matching are then used to produce a dense array of correspondences which are transformed through a camera model to produce a dense array of x, y, z data which can be used to produce digital terrain model and orthoimage products. Systems which use these techniques, e.g. the ITG system, were developed in the 1980s and 1990s but have since been supplanted by LiDAR and radar-based approaches, although these techniques may still be useful in deriving elevation models from old aerial photographs or satellite images.

Applications

This method is commonly employed in collision engineering, especially with automobiles. When litigation for accidents occurs and engineers need to determine the exact deformation present in the vehicle, it is common for several years to have passed and the only evidence that remains is crime scene photographs taken by the police. Photogrammetry is used to determine how much the car in question was deformed, which relates to the amount of energy required to produce that deformation. The energy can then be used to determine important information about the crash (such as the velocity at time of impact).

Current Suite of Software

	Standalone / Plugin	Specialisation	Automatic modelling	Scalability	Data source	Inception	Vendor / creator	Guide price	Link
PhotoSculpt	Standalone	100%	Yes	No, 2 images only	Images	-	Hippolyte Mounier	$99	http://www.photosculpt.net/
PhotoModeler	Standalone	100%	Yes	Yes, multiple images	Images	1994	Eos Systems	$1145	http://www.photomodeler.com
ImageModeler	Standalone	100%	No	Yes, multiple images	Images	2009	Autodesk	Subscription benefit	http://usa.autodesk.com/adsk/servlet/pc/index?id=11390028&siteID=123112
3D VIA	Standalone	100%	No	Yes	Images	Example	Example	Example	http://www.3dvia.com/
Match Photo	Plugin / feature	100%	No	Yes, multiple images	Images	-	Google	Example	http://sketchup.google.com/support/bin/answer.py?answer=94919
PhotoSketch	-	-	-	-	-	-	Brainstorm Technology LLC	$350	http://www.brainstormllc.com/
3D pup-up	Standalone	100%	No	Single image	Image	2005	Carnegie Mellon University	non commercial	http://www.cs.uiuc.edu/homes/dhoiem/projects/popup/index.html
Yodel	Standalone	100%	Limited	Yes, multiple images	Images	2011	Lidar Pacific Corporation	$499	http://www.yodel3d.com
VideoTrace	Tethered Beta	100%	No	Yes, multiple images	Images/Video	2011	Australian Center for Visual Technology (AVCT),PunchCard	Beta Tester Only	http://punchcard.com.au/wordpress/
PhotoFly	Standalone	100%	Yes	Yes, multiple images	Images/Video	2011	Autodesk	Free download	http://labs.autodesk.com/utilities/photo_scene_editor/
ELCOVISION 10	Standalone/Plugin	100%	Yes	Yes, multiple images	Images	1986	PMS AG / Leica Geosystems	2000	http://www.elcovision.com/

See also

• 3D data acquisition and object reconstruction
• Aerial survey
• Computer vision
• Edouard Deville
• ERDAS IMAGINE
• Geofoto
• Geoinformatics
• Geomatics engineering
• Leica Photogrammetry Suite
• Mobile Mapping
• Periscope
• Photomapping
• PhotoModeler
• Rangefinder
• SOCET SET
• Stereoplotter
• Surveying
• TopoFlight
• Videogrammetry

External links

• International Society for Photogrammetry and Remote Sensing
• RSPSoc - Remote Sensing and Photogrammetry Society of UK
• American Society for Photogrammetry and Remote Sensing
• A real world example of usage in reconstructing destroyed historical statues by using photographs
• History of Photogrammetry
• World Photogrammetry, the spanish website of photogrammetry for everyonear:مساحة تصويرية