123D Catch – 3D scanning tests

Scanning,Technique — hermanalan @ 5:29 am

3D Image ‘Scanning’ Test

Scanning — arothera @ 4:15 am

This was testing the 1-2-3 Catch photo merging software. I feel that I did a pretty good job at taking the images in series to produce a nice rotating series of images. But unfortunately it that my effort did not payoff in the testing.

123D Catch of Room

Scanning,Software — Mike Ornstein @ 6:52 am

I made an attempt at generating a model of my very messy room. The following is a screenshot of the model generated by 123D Catch from 50 stills. The .obj file is too large to post to the blog, but is available for distribution upon request.

Kinect SLAM

Reference,Scanning — Mike Ornstein @ 6:46 am

Here’s a video of an impressive Kinect SLAM execution. SLAM, an acronym for Simultaneous Localization And Mapping, is the bread and butter technique for getting robots to know what’s going on in their world.


Assignment,Scanning — Paul @ 8:21 am

I tried capturing my roommate’s gorgeous head, but that didn’t work. I tried capturing my 3d print sculpture (which I could then re-print, with the obviously results of insanity and profit), but that didn’t work. I tried capturing my kitchen table, and that worked pretty well, if “Dr. Seuss battles the termite queen” is an aesthetic you’re into. Here’s one of the pictures I took:

And here is the resulting mesh in Blender:

Why am I awake.

3D scanning -inspiration

Reference,Scanning — arothera @ 6:02 am

Bat Sonar:

I first wanted to reference some of the more natural types of 3D scanning. This being the sonar system that bats use. The bats are using specific frequencies which send high pitch sound waves outwards and wait for receiving the echo. The interesting fact is that the frequencies that bats send and receive are so frequent and complicated, much more complicated than the brain should be able to process. But science theorizes that the bats are able to slow down the processing of the wavelengths to understand the patterns specifically.



Multi-Kinect Scanning:

Secondly is a project I worked on last semester with Jonathan Armistead. Below is posted a video of the system we used to do full body scans. The scanner was developed for “professional” use in a medical facility. But in actuality the scanning system is utilizing multiple kinect cameras. The system is impressive because important to the system was that all 8 kinects would grab and record point cloud data at the same exact time. The system then outputs 4 separate point clouds.

In terms of process, I was hired by Jonathan to help align the point clouds using meshlabs to align the multiple scans. The workflow involves taking multiple pieces of the scan, rotating pieces into near perfect alignment, and then having the computer guess and rotate the pieces the rest of the way. (overall a very tedious process). Afterwards the aligned point cloud models are converted into a mesh for further processing.


~high resolution scans of full figures

~textures which semi match the figures


~tedious alignment of scans

~bubbling of skin texture?

~immense time spent: scanning, aligning, and reworking smoothly


DIY 3d Laser Scanner

Scanning — mperim @ 5:58 am

Found a site that shows how you can make your own 3d scanner, using just a laser pointer, wine glass, rotating platform, and a digital video camera. Which seems great if you need to get a digital model of something in a pinch.

The stem of the wine class diffracts the light so that it creates a beam along the surface of the object that is being scanned on the rotating platform. As the object rotates, the camera then records change in the line that the diffracted laser makes. Using an edge detection algorithm on the video avi to find the location of the laser line, reconstructs a 3-D model that looks like this:

It’s not the highest quality scan, but it’s a quick cheap alternative if nothing else is around and you’re forced to Macgyver a solution.

Link to the tutorial

Link to a similar, but more in depth scanner

Sonar Imaging

Scanning,Theory — Justin Lin @ 5:27 am

SOUND METRICS: http://www.soundmetrics.com/about-sonar-imaging

Sonar is pretty old technology but theres a really cool company doing high end imaging versions of it that go far beyond detecting torpedos and submarines in the water.

A sonar imager or scanner essentially just has an emitter and a receiver and a processor. The emitter emits sound, and the receiver receives it. The processor determines the attenuation and the delay of the reflected impulse signal to determine how far away the object is. Do this enough over a large area several times from a few directions and you get co-ordinates to the object’s surface which you can then make surfaces/meshes out of.

Here is a 3-d scan of a submerged fallen bridge structure at the bottom of a river, taken with a sonar imager.


Some cool gifs of Lamprey getting scanned from 5 metres away in really really dark water.


Also check out this link of debris from the bottom of the Atlantic (of the Titanic) getting scanned with Sonar Imaging : http://www.dailymail.co.uk/news/article-2112456/Titanic-pictures-Extraordinary-sonar-images-map-shipwreck-ocean-floor.html

They combined it with low-light underwater robotic photography to make a really intense map of the shipwreck. 

The good: Using auditory sound to generate visual images is such an engaging concept to my inner printmaker. The synaesthesia involved in this process involves so much translation of data between different processes (that analyse the attenuation, delay, direction…)… it is pretty impressive that we can actually do it without very much technology involved. Whales, Bats and Dolphins use it, so it has to be pretty useful. Especially when light isn’t available. You can also scan really big things.

The bad: Sonar is nasty in terms of noise, movement and random refractions/reflections that mess up with the actual reflected wave data that the receiver is supposed to collect. Its also expensive. And doesn’t really work on small objects because sound has a pretty big wavelength (compared to light).

If you like what you’re seeing ( I sure do), then you probably should buy one of the sonar cameras: http://www.soundmetrics.com/products/imaging-sonars/didson-300


3D Structured Light Scanning

Assignment,Scanning — alexmallard @ 4:06 am

3D structured light scanning is a way of taking images of 3D objects and creating meshes or 3D point clouds from the images. You can do it at home by projecting alternating patterns of striped light across a person or surface. You take 3 images of the object or person, each image has a different pattern projected onto it. Then you run the image through a program that assembles figures out the distances between the points of the object and creating a 3D point cloud. However, this is very difficult to get right, and you need rather precise lighting in order to produce the correct effect. Whenever I have tried it, it usually just ends up flat.

When done correctly, it should look like this:

Or this:

3D Scanning Technique

Medical imaging technologies such as the CT and MRI create sets of 2D slices. There are various ways to reconstruct these 2D slices into 3D models. Generally each of these slices were taken at a known distance apart. Imaging software can create   a simple 3D structure by placing each of these images that known distance apart in 3D space and thereby create a 3D model out of 2D images. This model can be further analyzed by doing a “volume rendering” in which internal objects with different grey scale values are separated into different 3D components.

The following is an image of a 3D model of the brain and eyeballs created in a free software called OsiriX:

Source for image and information: http://en.wikipedia.org/wiki/3D_scanner

I think this technic is interesting because it represents the internal rather than producing an empty shell of the surface of the object.

I also came across the artist Marlene Oliver  who works almost exclusively in 3D medical imaging technologies.


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