someone elsewhere on a different post suggested Reality Capture, it looks damn easy to use, however it looks helluva expensive.
and I've come across Colmap, which appears to be free/opensource.
in your opinions would you say Photogrammetry is an important skill to have in your CV?
Replies
Anyway it is better to have something more instead of not having it when it comes to CV in general.
https://alicevision.github.io/
Review
https://scanbox.xyz/blog/alicevision-opensource-photogrammetry/
overview video
https://www.youtube.com/watch?v=v_O6tYKQEBA
There are no binaries up yet so for those that don't feel like experimenting with Visual studio you have to wait a bit. There is an active release discussion here:
https://github.com/alicevision/meshroom/issues/128
I recommand using both reality capture and photoscan , each has his +/-.
I love Reality capture for organic stuff it gives the finest details.
I love Photoscan for hard surface mechanical object and for very tricky manual alignment.
This free course by Michael Pavlovitch is excellent to start with both apps.
https://gumroad.com/l/JsSEp
From their webpage:
Educational licenses (rehostable node-locked) and Educational Floating licenses are available exclusively to accredited educational institutions, their employees and students of such institutions. Only officially accredited educational institutions are eligible to obtain Agisoft PhotoScan educational licenses. This includes: universities, colleges, junior colleges, scientific and technical schools, vocational schools, and correspondence schools. Educational or Educational Floating licenses can also be purchased by students and officially employed teaching and research staff of officially accredited educational institutions.
Any educational license prohibits all commercial uses of the software. Educational / Educational Floating and Stand-Alone / Floating licenses differ legally but are technically identical.
http://www.agisoft.com/buy/online-store/educational-license/
http://www.agisoft.com/buy/online-store/
http://svizze.com/articles/photogrammetry-quick-introduction/
I think you can learn basics in about one week.
While photogrammetry will prove to be a valuable addition to your workflow, the main difficulty is selecting the correct hardware that will give you the most bang for your buck down the road.
Here are some of the technologies I’ve worked with that you’ll need to consider:
- DSLR camera. I currently own an outdated crop sensor Nikon with 14 megapixel resolution. I use it primarily for texture sourcing. It’s bulky and awkward for photogrammetry but the results aren’t bad. I’ve thought about buying a used full frame camera like the D800 for higher resolution and the ability to shoot in situations where the light is not ideal but it’s still a pricey route to go in addition to being even bulkier and more awkward to use. In a professional studio environment however, they do give the best results; especially for turn-table captures.
- Drone. I’ve seen some very impressive 3D models produced as a result of drone photography for architecture. Drones will no doubt be indispensable for large structures that would otherwise be difficult for ground photography to provide full coverage for. The problem with drones are the limited flight time, environmental hazards and the ever restrictive drone laws that are being passed which may soon make them impractical for use in urban environments. A good drone like DJI’s Phantom 4 Pro cost a tidy sum and if you lose it due to an accident or because someone thought it would be fun to shoot it out of the sky, you’re out a thousand+ dollars.
- Laser scanners. I’ve kept track of both numerous kickstarter projects and conventional hardware - the most popular being Microsoft Kinect which scans depth on a surface rather than evaluate photographs. The major advantage of scanning an object is that it is mostly foolproof – little technical knowledge is required. If you can comb your hair, you can complete a full laser scan. This is possible due to the real time feedback of the scan on your device so you can preview for any missing details such as surface gaps that may require another pass with the scanning instrument. Unlike still photos, backgrounds in the scanning environment have no affect on the final result thus, saving a lot of tedium in the process. Laser scanners are more sensitive to lighting conditions than most other instruments when capturing surface texture and therefore are a poor choice for work outdoors. Consumer grade scanners are very affordable but suffer from low resolution and therefore not suitable for very fine detail capture. They also struggle mightily with wet surfaces. The cost of higher end scanners are in the stratosphere range and therefore, not really a consideration.
- Smartphone/tablet. This is what I use for a majority of my work. The benefits of ultra-portability are fairly obvious. My own iPhone is several generations behind having just an 8 megapixel camera but it is adequate for obtaining reference information on colour, tone and shape when run through Agisoft Photoscan. The iPhone Xs has 12 megapixel camera which I expect would net you even better results. In addition to the device itself, there are third party hardware add-ons that aid in photogrammetry such as the Structure Sensor and EORA 3D. These add-ons are physically bracketed to the iPhone/iPad and through hardware in combination with specialized software, renders out point clouds in near real time right on the device’s screen. The scan resolutions are based on the device’s camera; the better the camera, the better the results. Currently, the resolutions are low due to compromises made for the real time element but as improvements are made to software optimization, it could well approach close to full frame DSLR quality in the near future.
As you can see, photogrammetry has branched out to different platforms; each with their own pros and cons. Experiment with what you already have and see what you can do. If you decide you want to upgrade to better hardware later, keep in mind that consumer photogrammetry is still maturing with no hardware standardization. That means you could spend thousands of dollars on DSLR camera gear only to discover a year later that a newer smartphone model or dedicated device will be able to output models of identical quality for a third of the price. It may actually pay to sit on the fence for a few years to see what the technology leads us before investing serious money into it.
That's kind of like saying photos replaced textures when Max Payne came out in 2001. Or normal maps replaced hand painted details. It's all helpful sure, but it doesn't do everything that everyone needs. There are a large list of objects and styles that it doesn't apply to. Plus the costs and time involved, it can make it just as expensive and put enough friction in the pipeline to make it unusable.