Excellent project from Sean Hodgins up on Hackster.io.
Imagine you wanted to take a digital photo, but you didn’t have a camera. I know what I would do. Build my own digital camera!
Sean Hodgins Made an Image Sensor #celebratephotography
Incredible builder from Sean Hodgins on Hackster.io:
After playing with some images and seeing what resolution would be acceptable, I just went for it, a 1 KiloPixel image sensor.
See more on Hackster.io, GitHub, Thingiverse and YouTube
We #celebratephotography here at Adafruit every Saturday. From photographers of all levels to projects you have made or those that inspire you to make, we’re on it! Got a tip? Well, send it in!
If you’re interested in making your own project and need some gear, we’ve got you covered. Be sure to check out our Raspberry Pi accessories and our DIY cameras.
A Google Pixel 3a microscope adapter #Photography #3Dprinting
Ed Nisley posts about building yet another camera adapter, this time for a microscope eyepiece.
Hand-holding my Google Pixel 3a phone over the microscope eyepiece worked well enough to justify building Yet Another Camera Adapter:
The snout is a loose fit around the 5× widefield microscope eyepiece, with the difference made up in a wrap of black tape; it’s much easier to adjust the fit upward than to bore out the snout. An overwrap of tape secures the snout to the eyepiece, which I’ve dedicated to the cause; the scope normally rocks 10× widefield glass.
The tapered hole exposes the phone’s fingerprint reader to simplify unlocking, should it shut down while I’m fiddling with something else.
The microscope doesn’t fully illuminate the camera’s entrance pupil at minimum zoom, with 4.5× filling the screen and (mostly) eliminating the vignette. The corner blocks have oversize holes to allow aligning the camera lens axis over the microscope optical axis. The solid model incorporates Lessons Learned from the version you see here, because you (well, I) can’t measure the camera axis with respect to the outside dimensions accurately enough.
Make a Textured 3D Model with Photos #celebratephotography
From Eleccelerator:
Using Meshroom, an open source photogrammetry tool, I can process a bunch of photographs into a textured 3D model. I could use these models for 3D printing or as objects in a game engine.
We #celebratephotography here at Adafruit every Saturday. From photographers of all levels to projects you have made or those that inspire you to make, we’re on it! Got a tip? Well, send it in!
If you’re interested in making your own project and need some gear, we’ve got you covered. Be sure to check out our Raspberry Pi accessories and our DIY cameras.
Make a Hand Cranked 35mm Motion Picture Movie Camera #celebratephotography
From HardlyHumanFX on Instructables:
My Dear Makers,
I embarked on an ambitious project last month: the creation of a homemade hand-cranked motion picture camera from scratch. I also endeavored to develop the film myself using household chemicals and further to reverse the film negative so that it could be projected and viewed!
Read more and see more on YouTube
We #celebratephotography here at Adafruit every Saturday. From photographers of all levels to projects you have made or those that inspire you to make, we’re on it! Got a tip? Well, send it in!
If you’re interested in making your own project and need some gear, we’ve got you covered. Be sure to check out our Raspberry Pi accessories and our DIY cameras.
3Dflow Computer Vision Software
3Dflow is a private software company operating in the field of Computer Vision and Image Processing. It was established in 2011 as a spin-off of the University of Verona, and in 2012 it became a spin-off of the University of Udine. 3Dflow is a company that provides solutions in Photogrammetry, 3D modeling of reality, 3D processing, and 3D visual effects. Their customers range from small industries competitors to large scale entertainment companies. In this article we will be analyzing this company as well as showcasing their workshop for 3D imaging and photogrammetry, as well as their world cup competition.
3Dflow is a company that is based in Italy. It is a small organization with fewer than 15 employees. The main value proposition this organization gives is its ability to use computer vision and software in combination to create 3D image data. For the stitching of the point cloud data of multiple photos, the organization provides software that does this for the user. The software is called 3DF Zephyr. 3DF Zephyr comes in the following forms:
- 3DF Zephyr Free
- 3DF Zephyr Lite
- 3DF Zephyr Pro
- 3DF Zephyr Aerial
The free version of 3DF Zephyr includes full 3D construction, a 50 photo limit, single NVIDIA GPU support, basic exporting capabilities, and basic editing tools, and full forum support. 3DF Zephyr Lite differences include Dual NVIDIA GPU Support, 1 year upgrades included, basic email, and full forum support. The 3DF Zephyr Pro version has full exporting capabilities, advanced editing tools, control points & measurements, laser scan support, 1 year upgrades included, full email, and forum support. 3D Zephyr Aerial has all the previous abilities and GIS, CAD, and Survey Tools.
3Dflow still comes from an educational background in terms of its founding story. It explains how they have transitioned to a consulting company as well as an organization that is focused on research and development. It also explains why they offer a free version of their software as an educational version for students. They care about building software for the future of photogrammetry as well as 3D imaging. They have developed specific algorithms and frameworks that are proprietary to their organization. This includes:
- 3DF Samantha
- 3DF Statsia
- 3DF Sasha
- 3DF Masquerade
3DF Stasia is the proprietary algorithm to extract very accurate dense point clouds from a set of 2D images. In Computer Vision this process is best known as a multiview stereo. The first step is to extract the corresponding points in two images and the second step is the 3D reconstruction with algorithms like Discrete Linear Transform. The Discrete Linear Transform, or Discrete Fourier Transform used in a linear model, converts a finite sequence of equally-spaced samples of a function into a same-length sequence of equally-spaced samples of the discrete-time Fourier transform (DTFT), which is a complex-valued function of frequency. The function we are dealing with in this case is the stitching together or images into 3D object data. Using DLT, the reconstruction is done only where there are SCPs. By increasing the number of points, the results improve but it is time consuming. This method has low accuracy because of low reproducibility and time consumption. This method is dependent on the skill of the operator. This method is not suitable for bony structures with continuous shape. This method is generally used as an initial solution for other methods. Hence the other technology developed by 3DF is vital.
Mathematics of Discrete Fourier Transform
3DF Sasha is their proprietary algorithm for mesh extraction: given a dense point cloud full of details, it is important to preserve as much detail as possible when extracting the surface. Sasha allows one to get sharp edges on a 3D model and that is why it is more suitable for applications such as architecture, industrial surveying, and urban monitoring. Without the precision of point cloud data, the resulting stitch of 2D images would come out to be noisy.
To clean up residual noise from the data, 3Dflow employs their 3DF Masquerade tool. This tool has been developed as an external executable that is included in the 3DF Zephyr installation package. Masquerade can mask images so it can save time during masking operations. 3DF Masquerade is helpful when there is a lot of background noise or when the subject has been moved incoherently with the background: the most common scenario is a subject that is being acquired on a turntable.
The first photogrammetry & 3D scanning training course in the English language by 3Dflow in Verona (Italy), next September 30th, October 1st and October 2nd! One will learn photogrammetry with 3DF Zephyr: this course will tackle everything from photography for photogrammetry (basic and advanced shooting techniques) to data processing with 3DF Zephyr, on both photogrammetry-only workflows and a external-data oriented workflows (e.g. laser scanners). Theory and practice on the software will be paired with an actual test-acquisition Verona, a world-famous history-rich cities in Italy and home of 3Dflow.
I will be attending this workshop to learn and report on this next month, but I encourage others to look into the 3Dflow organization and see what they are doing. Also be sure to signup for their workshop here.
The post 3Dflow Computer Vision Software appeared first on 3DPrint.com | The Voice of 3D Printing / Additive Manufacturing.
DIY Gimbal for the Raspberry Pi Camera #piday #raspberrypi @Raspberry_Pi
Very cool gimbal device for stabilizing your Pi camera. Via Hackaday:
If one wants a stabilized video feed from a drone, a gimbal setup is the way to go. However, the cheaper offerings are all rather similar, suited to a certain size and type of drone. [Jean] was building a smaller craft, so set out to create his own design specifically fit for purpose.
The build begins in the CAD suite, with a series of 3D printed parts designed to link together with a pair of brushless motors to make a 2-axis set up. After printing, the gimbal arms are bolted together with the motors and the camera and IMU are installed, with everything being wired up to a GLB MiniSTorM32 brushless gimbal controller. These controllers make the process of building a gimbal easy, meaning that individual makers don’t have to go to the trouble of designing motor controller circuitry again and again.
Each Friday is PiDay here at Adafruit! Be sure to check out our posts, tutorials and new Raspberry Pi related products. Adafruit has the largest and best selection of Raspberry Pi accessories and all the code & tutorials to get you up and running in no time!
What is Metrology Part 8: Complex Analysis, Optics, and Metrology
The field of metrology is interesting for me as it integrates a lot of what I enjoy in physics and technology. The field from the outside seems very bland, but when you delve into the background, it becomes a more colorful picture. The field is reliant on the physics behind optics and image processing. These are areas of extreme interest to me. Visualization and capturing visualization data is essential for the field. A lot of this data is difficult to interact with as well because the data must be interpreted as a function that can be manipulated for reconstruction purposes from point cloud data. The mathematics behind this is what can be referred to a complex analysis. Today I will give some basic insight into these advanced concepts of physics and how they open us to learning more about metrology and 3D scanning.
Let’s first talk about the field of optics. Optics is the branch of physics that studies the behaviour and properties of light, including its interactions with matter and the construction of instruments that use or detect it. Optics usually describes the behaviour of visible, ultraviolet, and infrared light. Because light is an electromagnetic wave, other forms of electromagnetic radiation such as X-rays, microwaves, and radio waves exhibit similar properties.
Optical science is studied in many related disciplines including astronomy, various engineering fields, photography, and medicine. Practical applications of optics are found in a variety of technologies and everyday objects, including mirrors, lenses, telescopes, microscopes, lasers, and fibre optics, as well as metrology practices.
Yes Imaginary Numbers are useful
I personally have a strong fascination with the field of optics. Firstly, I wear glasses and my glasses help me “see” more. The field of optics quickly takes a dive into metaphysical thought processes on human perception as well as what we actually see. Optics is the center of how most of us “see” the world. When we are in the field of metrology we are relying on man-made technology to measure what we see as humans. The realization that we as humans are measuring reality and physical dimensions is a bit mind-boggling. We do not necessarily know what reality is, but we use metrology to measure for us what is within our “grasp”.
Here is where it starts to become a bit more interesting. What defines the system we are in as humans who are measuring within their current state of reality? There must be a larger system that allows for this to occur. This is where complex analysis comes into play. Complex analysis, traditionally known as the theory of functions of a complex variable, is the branch of mathematical analysis that investigates functions of complex numbers. It is useful in many branches of mathematics, including algebraic geometry, number theory, analytic combinatorics, applied mathematics; as well as in physics. As a differentiable function of a complex variable is equal to the sum of its Taylor series (that is, it is analytic), complex analysis is particularly concerned with analytic functions of a complex variable (that is, holomorphic functions).
For those of you intimidated by math, I will explain the meaning behind the math. Complex analysis is the branch of mathematics that is trying to understand the imaginary or complex plane of the universe we are confined to. We are working within 3 degrees of freedom or 3-dimensionality within our universe. The system of the universe is not determined by what is seen in the 3-dimensional world. Our perception is not what easily moves the universe. The forces that work on our 3-dimensional universe are applied through the fourth dimension or the complex plane of the universe. For all those who want to learn more physics be sure to enjoy immense philosophical implications. So why is all of this relevant to metrology and optics? Think about this. The signals or data we receive from viewing images is distorted by the complex realm. If it was not, there would be extremely high resolution images taken on a consistent basis. That tiny bit of blur in a photo, for example, is a byproduct of the complex world interacting with the physical realm we are within. This is what typically creates a noisy signal typically in physics. In signal processing, noise is a general term for unwanted (and, in general, unknown) modifications that a signal may suffer during capture, storage, transmission, processing, or conversion. Noise reduction, the recovery of the original signal from the noise-corrupted one, is a very common goal in the design of signal processing systems, especially filters. The mathematical limits for noise removal are set by information theory, namely the Nyquist–Shannon sampling theorem.
The data we are collecting, or information, is prone to noise. We live in the 3rd dimensions and the complex plane consistently is interacting with our signals or data. Thus we use filters to help with noise cancellation. This is the basis of image processing and digital image reconstruction. The algorithms being created currently for photogrammetric filters are extremely vital for the future of 3D reconstruction. These filters will rely heavily on the field of complex analysis to build better filters. Then we will have very clean 3D reconstructions from our metrology practices. For all those who are intrigued, I will continue to explain different items within the 3D metrology field.
The post What is Metrology Part 8: Complex Analysis, Optics, and Metrology appeared first on 3DPrint.com | The Voice of 3D Printing / Additive Manufacturing.
Create a Full-Color Images One Pixel at a Time #celebratephotography
From Arduino “having11” Guy on Hackster.io:
Is it possible to create an image using only a single RGB sensor? That is what I wanted to find out.
Read more and see more on YouTube
We #celebratephotography here at Adafruit every Saturday. From photographers of all levels to projects you have made or those that inspire you to make, we’re on it! Got a tip? Well, send it in!
If you’re interested in making your own project and need some gear, we’ve got you covered. Be sure to check out our Raspberry Pi accessories and our DIY cameras.
#3DPrint a 58mm Solar Filter #celebratephotography
From madhead_ on Instructables:
Neat solar filter for telephoto DSLR lenses. IMHO, looks far better than cardboard crafts.
We #celebratephotography here at Adafruit every Saturday. From photographers of all levels to projects you have made or those that inspire you to make, we’re on it! Got a tip? Well, send it in!
If you’re interested in making your own project and need some gear, we’ve got you covered. Be sure to check out our Raspberry Pi accessories and our DIY cameras.