I'd like to see some results before buying or building anything! You will find some amazing results in our gallery. For laser scanning, you can download DAVID and use a test video file (choose Video Grabber) instead of a real camera, so you will have 3D data within a minute. More Questions? See FAQ (frequently asked questions) Gallery and User Gallery (with amazing 3D results) Downloads (software, example scans and test video) Shop (DAVID Scanner packages, cameras, lasers, and more) Manual (how to build and/or use your 3D scanner) Forum (exchange experiences with others) Wiki (tutorials and user impressions)
Face features detection with OpenCVObject detection proposed by Paul Viola was implemented in OpenCV. We also can find some classifiers (working with Haar-like features) in OpenCV such as frontal face, profile face, eyes, nose and mouth. Each classifier is trained with multiple sample views of a particular object in the same size including positive images and negative images.KinFu - Kinect 3D Scan ToolkitThis software package enables you to utilize a Microsoft XBOX Kinect for scanning 3D geometry in real-time and saving it in various formats. The KinFu application depends on Fermi instructions of an NVIDIA CUDA-enabled GPU. Therefore, an NVIDIA GeForce GTX 300 graphic card or above is required. Running the main application will show the depth map of the device and a real-time view of the output. As you then move around or point at an object from different angles the new depth data is continuously added for a complete capture of the scenario you're in. Once you are satisfied with the result, the data can be stored in order to construct a mesh and the corresponding texture.
Bundler - ToolkitV3DSfMToolkit ETH-V3D Structure-and-Motion software was created by Christopher Zach. The original source code with dataset is available at Christopher Zach Open-Source page (GPL license). I have created a windows port of V3DSfMToolkit with scripting wich is available as both binary (V3dSfMToolkit1.zip) and source (github). I’ve tested this toolkit with the dataset given by Christopher Zach (see above screenshot) the reconstruction looks good but I only managed to get partial reconstruction from my own dataset. MissStereo
Printrbot jr assembly part 1Finally got some time to work on assembling the actual printer. Started out with going through the LC parts to check if they were all there. Also snapped some photos of other components: printrbot Screws, nuts, etc. Nicely packed in sealed plastic bag.Advanced Vision Module[ Lecture Notes ] [ Announcements ] [ Assignments ] [ MATLAB ] [ Books ] [ FAQ ] 10 Minute Introduction The goal of this course is provide you with the skills to understand and sketch out solutions to a variety of computer vision applications. You should end up with the skills to tackle novel situations and incompletely defined applications. We will approach this by looking at 6 simplified computer vision systems that cover a large portion of the range of both applied and research computer vision. Lectures:
New Kinect Gets Closer to Your Body [Videos, Links]The new, svelte-looking Kinect. It’s not that it looks better, though, that matters: it’s that it sees better. Courtesy Microsoft. It’s a new world for media artists, one in which we look to the latest game console news because it impacts our art-making tools. And so it is that, along with a new Xbox, Microsoft has a new Kinect. The new Kinect uses standard infrared tracking (ideal for in-the-dark footage and accurate tracking), but also returns RGB imagery.
Using the GoPro Hero 3 for 3D Photogrammetry Modeling and MeasuringPosted on Monday, September 23rd, 2013 Introduction The GoPro Hero 3 is a small, lightweight, robust, low cost, and high definition video and still camera used primarily for capturing action. The GoPro Hero 3 Black is the highest resolution version of the GoPro lineup and the one best suited to photogrammetry – the science of measurement, modeling and scanning using photographs. Due to the GoPro’s small size, low weight, wifi, and good image quality it is an interesting platform to consider for photogrammetry.
Image Recognition with Neural NetworksNeural networks are one technique which can be used for image recognition. This tutorial will show you how to use multi layer perceptron neural network for image recognition. The Neuroph has built in support for image recognition, and specialised wizard for training image recognition neural networks. Simple image recognition library can be found in org.neuroph.contrib.imgrec package, while image recognitionwizard in Neuroph Studio canis located in [Main Menu > File > New > Image recognition neural network] This tutorial will explain the following: 1.