Using GPS enabled phones to tag and upload photos to website-


 
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Old 03-19-2012
Using GPS enabled phones to tag and upload photos to website-

A society that is a client of ours wants to maintain photos of architectural features of buildings all over the country. What typically happens is that during a tour photos are taken together with some handwritten notes and later that day, the photos are uploaded into a database and the handwritten notes manually rekeyed and tagged. The database powers the website where the photos and accompanying data can be viewed.
An alternative that I have been thinking about is a phone application that uploads photos from a GPS enabled cell phone to the website whenever they are taken. By using GPS, a reverse lookup of the address can also be performed, for example via:
Nominatim - OpenStreetMap Wiki
The website would then be updated on-the-fly while taking photos: both the imagery and location are entered, which are the two main pieces of information, and as a result would reduce workload substantially.

Does anyone know of a similar phone application, ie where photos can be uploaded immediately onto a website together with location information?
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TCA_CORRECT(1)							       HUGIN							    TCA_CORRECT(1)

NAME
tca_correct - Calculate transverse chromatic aberration SYNOPSIS
tca_correct [options] inputfile <inputfile> is the base name of 4 image files: <inputfile> Colour file to compute TCA parameters red_<inputfile> Red channel of <inputfile> green_<inputfile> Green channel of <inputfile> blue_<inputfile> Blue channel of <inputfile> The channel images must be colour images with 3 identical channels. If any of -R, -G, or -B is given, this file name is used instead of the derived name. Output: commandline arguments for fulla DESCRIPTION
Generates fulla command-line parameters for correction of transverse chromatic aberration (TCA) from sample photos. Ideal sample photos would have a lot of contrast over the entire image area, little saturated colour and no blown highlights. OPTIONS
-h Display help -l input file is PTO file instead of image -m method optimization method (0 normal, 1 newfit) -o optvars string of variables to optimize ("abcvde") -r Reset values (this will zero a,b,c,d,e params and set v to 10) makes sense only with -l option -s <scale> Scale for corner detection -n <number> number of points per grid cell (default: 10) -g <number> divide image in <number>x<number> grid cells (default: 10) -t num Remove all control points with an error higher than num pixels (default: 1.5) -v Verbose -w filename write PTO file -R <r> Use this file as red channel -G <g> Use this file as green channel -B <b> Use this file as blue channel AUTHORS
Written by Pablo d'Angelo and others. "Version: 2011.4.0" 2011-12-02 TCA_CORRECT(1)