Ben Semerjian

This project is related to what we know as pinhole lenses: You can punch a hole in aluminum foil, put it on a camera in front of a sensor (no lens), and it will take pictures. Blurry and with other issues, but it will work. The first cameras used pinhole lenses.

The program I created simulates a description of the blur of a pinhole lens by solving the electromagnetic wave equation. It makes very few assumptions, most notably that you're photographing something "far away" and that the foil is thin. It simulates four holes next to each other arranged in a square.

When running the program, you can copy its output to a spreadsheet and then make a graph. You will see two big spikes and a lot of wiggles. The four pinholes generate four spikes, but you can't see them because they're somewhere else in 3D. The way I solved this is unique, with its advantages and disadvantages, compared to the traditional Fourier approach.

I built HoneyComb's back-end map processing pipeline on my own. The application includes state-of-the-art feature matching, bundle adjustment, compositing, calibration, and GIS output. It outperforms Pix4D for this specific purpose by a significant margin.

This is a publication that I wrote while working at OGSystems which is the culmination of three years of work on surface reconstruction. The conference that I presented this at has a five percent acceptance rate for surface reconstruction topics.

For over six years, I wrote almost all of the algorithms and pipelines behind OGSystems' 3D processing product. It is currently being gainfully exploited and maintained by others.

I contributed to the launch of StockPileReports.com in 2012 by writing the SfM pipeline and a tool to measure the volume of stockpiles from noisy point clouds.