Structured light is considered one of the most effective techniques to acquire 3D models. This technique is based on projecting a light pattern and capturing the illuminated scene from one or more points of view. Since the pattern is coded, correspondences between image points and points of the projected pattern can be quickly found and 3D information easily retrieved.

One of the most commonly exploited coding strategies is based on trmatime-multiplexing.

Structured Light 3D scan

In this case, a set of patterns are successively projected onto the measuring surface. The codeword for a given pixel is usually formed by the sequence of illuminance values for that pixel across the projected patterns. Thus, the codification is called temporal because the bits of the codewords are multiplexed in time []. For more details, see Structured Light tutorials. Kyriakos Herakleous, Charalambos Poullis. Classes Enumerations. Detailed Description Structured light is considered one of the most effective techniques to acquire 3D models.

Class implementing the Gray-code pattern, based on []. Abstract base class for generating and decoding structured light patterns.

python structured light scanning

Type of sinusoidal pattern profilometry methods. Type of the decoding algorithm.Reconstructs a 3D stripe on the area of an object on which a laser falls as seen by the camera. Creating a 3D reconstruction of an object using multiple images.

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Autonomous wind blade inspection using Hough line transformation, canny edge detection and stereo vision. Add a description, image, and links to the structured-light-for-3d-scanning topic page so that developers can more easily learn about it.

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Curate this topic. To associate your repository with the structured-light-for-3d-scanning topic, visit your repo's landing page and select "manage topics. Learn more. Skip to content. Here are 7 public repositories matching this topic Language: All Filter by language. Star Code Issues Pull requests. An OpenCV-based structured light processing toolkit.

Structured Light based 3D scanner. Cool Vision projects. Updated Nov 21, Python. Star 8. Updated Jun 9, Python. Star 1.

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Improve this page Add a description, image, and links to the structured-light-for-3d-scanning topic page so that developers can more easily learn about it. Add this topic to your repo To associate your repository with the structured-light-for-3d-scanning topic, visit your repo's landing page and select "manage topics. You signed in with another tab or window.

Reload to refresh your session. You signed out in another tab or window.A low cost 3D scanner is presented, which can be made with a conventional video projector and webcams. This 3D scanner was made using low cost conventional items like a video projector and webcams. A structured-light 3D scanner is a 3D scanning device for measuring the three-dimensional shape of an object using projected light patterns and a camera system.

The structured light and stereo vision software was developed on python language. Such a 3D scanner allow to build highly accurate models of real 3D objects in a cost- and time-effective manner.

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This low-cost 3D scanner is based on structured light which adopts a versatile colored stripe pattern approach. The scanner has been designed according to the next requirements: Medium-high accuracy, easy of use, affordable cost, self-registered acquisition, and operational safety. Projecting a narrow band of light onto a three-dimensional shaped surface produces a line of illumination. Horizontal and vertical light bands are projected on object surface and then captured by two webcams. In the design of this low-cost scanner, the emitter unit is implemented by using a video projector.

This widens its flexibility by allowing different light patterns, and its availability.

Structured-light 3D scanner

The sensor can be either a custom device, a standard digital still camera or a webcam. It must support high quality color capture i. Do you want to join our discussions and get news and updates about the projects? Talk to us over Slack! Do you work on an open source project with potential application for MRI or other related medical research and technology?

DIY 3D Scanner Based on Structured Light and Stereo Vision in Python Language

We will also highlight early stage projects prior to a stable release and documentation in order to improve collaboration at that early stage. Here you can find an overview of open source hard- and software projects, current progress, contact persons and links to the development and documentation websites.

We just started, more projects will be uploaded very soon. Hardware Other hardware non-MR. Hesamh iname.Structured light is considered one of the most effective techniques to acquire 3D models.

This technique is based on projecting a light pattern and capturing the illuminated scene from one or more points of view.

Structured-light 3D scanner

Since the pattern is coded, correspondences between image points and points of the projected pattern can be quickly found and 3D information easily retrieved. One of the most commonly exploited coding strategies is based on trmatime-multiplexing. In this case, a set of patterns are successively projected onto the measuring surface.

The codeword for a given pixel is usually formed by the sequence of illuminance values for that pixel across the projected patterns. Thus, the codification is called temporal because the bits of the codewords are multiplexed in time []. For more details, see Structured Light tutorials. Kyriakos Herakleous, Charalambos Poullis.

Classes Enumerations.

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Detailed Description Structured light is considered one of the most effective techniques to acquire 3D models. Class implementing the Gray-code pattern, based on [99]. Abstract base class for generating and decoding structured light patterns.

Type of sinusoidal pattern profilometry methods. Type of the decoding algorithm.Structured-light 3D scanners are non-contact 3D scanners, meaning the measurement device does not touch the object in order to get measurement data compared to other measurement tools like portable or optical CMMs.

This minimizes measurement interference due to physical contact to ensure better accuracy.

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Structured-light 3D scanners are efficient at capturing measurements upward of millions of 3D measurement points with great accuracy sub-thousands of an inch in about one second.

A structured-light 3D scanners capture a large area of the object at once, which makes the 3D scanning process fast and efficient. Structured-light 3D scanners essentially works like a 3D camera. If the system is pre-calibrated for accuracy during the manufacturing process, minimal setup is required to start the scanning process.

The 3D scanning process from data capture to post-processing can be setup to be fully automated. It makes structured-light 3D scanners an ideal candidate to integrate into systems or embedding into devices. Stationary structured-light 3D scanners require capturing unit to remain still when taking a 3D scan of an object. Handheld structured-light 3D scanners require someone to hold the capturing unit and wave it around the object to capture scans. While handheld scanners are convenient to use, if you want better scan data quality stationary structured-light 3D scanners outperform handheld 3D scanners, in terms of accuracy and resolution.

The reason is handheld 3D scanners capture scans like a video camera, so they capture a scan while the 3D scanner is moving. Stationary 3D scanners stay still while capturing a scan. You capture better results when you take a stationary 3D scan versus a moving 3D scan. Basically the trade-off for using a handheld 3D scanner is convenience over higher accuracy and detail of a stationary 3D scanner.

They are both optical 3D measurement devices that uses light-based measurement techniques to capture a 3D scan. Laser 3D scanners gather data using a laser line or a point at a time while structured-light 3D scanners uses white or blue light technology to capture the entire area using multiple patterns and images full field scanning.

Contact Us. What are the advantages of using a structured-light 3D scanner? No Contact Required with the Scan Target Structured-light 3D scanners are non-contact 3D scanners, meaning the measurement device does not touch the object in order to get measurement data compared to other measurement tools like portable or optical CMMs. Fast at Capturing Quality 3D Scans at High Accuracy Structured-light 3D scanners are efficient at capturing measurements upward of millions of 3D measurement points with great accuracy sub-thousands of an inch in about one second.

Full Field Scanning A structured-light 3D scanners capture a large area of the object at once, which makes the 3D scanning process fast and efficient. Stationary 3D scanners versus handheld 3D scanners Stationary structured-light 3D scanners require capturing unit to remain still when taking a 3D scan of an object. Structured-light 3D scanners versus laser 3D scanners They are both optical 3D measurement devices that uses light-based measurement techniques to capture a 3D scan.

Structured-light 3D scanners have the following advantages over laser 3D scanners: Faster scan times Produce dense and accurate data Higher detail levels Takes the full view of the object with full field scanning Safe for people, even to the naked eye Previous Why use structured-light 3D scanners?

Next When is it important to get color scans?Creating a 3D reconstruction of an object using multiple images. Autonomous wind blade inspection using Hough line transformation, canny edge detection and stereo vision. Add a description, image, and links to the structured-light-for-3d-scanning topic page so that developers can more easily learn about it. Curate this topic. To associate your repository with the structured-light-for-3d-scanning topic, visit your repo's landing page and select "manage topics.

Learn more. Skip to content. Here are 3 public repositories matching this topic Language: Python Filter by language. Star Code Issues Pull requests. Cool Vision projects. Updated Nov 21, Python. Star 8. Updated Jun 9, Python. Improve this page Add a description, image, and links to the structured-light-for-3d-scanning topic page so that developers can more easily learn about it.

Add this topic to your repo To associate your repository with the structured-light-for-3d-scanning topic, visit your repo's landing page and select "manage topics. You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window.This 3D scanner was made using low cost conventional items like video projector and webcams.

A structured-light 3D scanner is a 3D scanning device for measuring the three-dimensional shape of an object using projected light patterns and a camera system.

structured-light-for-3d-scanning

Software was developed based on structured light and stereo vision with python language. Projecting a narrow band of light onto a three-dimensional shaped surface produces a line of illumination that appears distorted from other perspectives than that of the projector, and can be used for an exact geometric reconstruction of the surface shape.

python structured light scanning

Horizontal and vertical light bands are projected on object surface and then captured by two webcams. Did you use this instructable in your classroom? Add a Teacher Note to share how you incorporated it into your lesson. Automatic 3D acquisition devices often called 3D scanners allow to build highly accurate models of real 3D objects in a cost- and time-effective manner.

We have experimented this technology in scanning a toy to prove performance. Specific needs are: medium-high accuracy, easy of use, affordable cost of the scanning device, self-registered acquisition of shape and color data, and finally operational safety for both the operator and the scanned objects.

According to these requirements, we designed a low-cost 3D scanner based on structured light which adopts a versatile colored stripe pattern approach. We present the scanner architecture, the software technologies adopted, and the first results of its use in a project regarding the 3D acquisition of a toy. In the design of our low-cost scanner, we chose to implement the emitter unit by using a video projector. The reason was the flexibility of this device which allows to experiment any type of light pattern and its wide availability.

The sensor can be either a custom device, a standard digital still camera or a webcam. Python language was used for programming for three reasons, one it is easy to learn and implement, two we can use OPENCV for image related routines and three it is portable among different operating system so you can use this program in windows, MAC and Linux. You can also configure the software to use with any kind of camera webcams, SLRs or industrial cameras or projector with native X resolution.

python structured light scanning

It is better to use cameras with more than two times resolution. I personally tested the performance in three different configuration, first one was with two parallel Microsoft webcam cinema and a small portable projector, second one was with two lifecam cinema webcameras that rotated 15 degrees toward each other and Infocus projector, last configuration was with logitech webcameras and Infocus projector. To capture point cloud of object surface we should go trough five steps:.

The output is a PLY file with coordinate and color information of points on object surface. Python 2. You can find additional information on this subject on the following websites:. Camera and projector stand made from 3 mm Acrylic plates and 6 mm HDF wood cut with a laser cutter. Two cameras and projector should be connected to a computer with two video output like a notebook computer and the projector screen should be configured as an extension to main windows desktop.

Here you can see images of cameras, projector and stand. The drawing file ready for cut are attached in SVG format. This video projector is used to project structured light patterns on the object to be scanned. The structured pattern consists of vertical and horizontal white light strips that are saved on a data file and webcams capture those distorted strips.

Preferably use those cameras that are software controllable because you need to adjust focus, brightness, resolution and image quality. For testing the system a fish toy was used and you can see the captured image. All captured file and also the output point cloud is included in attached file.

Here you can see some human face scans and 3d scan of a wall. There are always some outlier points due to reflections or inaccurate image results. For testing the 3d scan software in this step I add two data sets one is scan of a fish and another is just a plane wall to see the accuracy of it.