Niko's Project Corner

Automatic map stitching

Nowa­days there are many HTML5-based map ser­vices, but typ­ically they don't of­fer any ex­port func­tion­al­ity. To cre­ate a full view of the de­sired re­gion, one can ei­ther zoom out (and lose map de­tails) or take many screen­shots of dif­fer­ent lo­ca­tions and man­ually stitch them to­gether. This pro­ject can au­to­mat­ically load all stored screen­shots, de­tect the map, crop rel­evant re­gions, de­ter­mine im­ages rel­ative off­sets and gen­er­ate the high-res out­put with zero con­fig­ura­tion from any map ser­vice.

Visualizing laser scanned geography

Dur­ing the sum­mer of 2012 when I was mainly work­ing on my Mas­ter's The­sis, I also had a look at Na­tional Land Sur­vey of Fin­land's open data down­load ser­vice. There I down­loaded a point cloud dataset which had typ­ically 4 - 5 mea­sured points / square me­ter. This means that to vi­su­al­ize a re­gion of 2.5 × 2 km, I had to work with a point cloud con­sist­ing of 5 × 2500 × 2000 → 25 mil­lion points. I chose to con­cen­trate on my cam­pus area, be­cause I know it well and it has many in­ter­est­ing land­marks. For ex­am­ple the iconic main build­ing can be seen in Fig­ure 1.

Rendering omnidirectional images

As I men­tioned in the pre­vi­ous ar­ti­cle about om­ni­di­rec­tional cam­eras, my Mas­ters of Sci­ence The­sis in­volved the us­age of this spe­cial kind of imag­ing sys­tem which con­sists of a tra­di­tional cam­era lens and a con­cave mir­ror, which pro­vided 360° × 90° Field of View. It was or­dered from Japan and there was some de­lay in the de­liv­ery, so mean­while I wrote an all-Mat­lab script to sim­ulate this sys­tem's prop­er­ties, cal­ibra­tion and panorama gen­er­ation in prac­tice.