www.stierlen2.homepage.t-online.de/modellbau/3dscanner/scan_calculator.htm Scan_Calculator Author: Peter Stierlen (peter.stierlen@t-online.de) History: 2009/02/16 (v1.00 beta): first public version 2009/05/12 (1.02) : improved calculation with better skeletonization Download: Scan_Calculator.jar Installation: Download Scan_Calculator.jar to the plugins folder and restart Imagej. Description: This plugin allows you to calculate 3D data out of 2D scanline data captured with a laserscanner. Limitations: This version is only working correctly for laser installation on the left side. Calculation of 3D data from 2D image stacks captured by a laser scanner Open your original distort stack Start the plugin Scan_Calculation Clicking the plugin Scan_Calculator you will start up in the main menu which is split in two different sections. In the upper section you can check and edit the basic scanner setup data. Scan_Calculator – Maim menu Change to the Camera Prefs Menu Camera Prefs – parameters for undistortion of images (zhang calibration parameters) Definition of 3D bounding box
Build Your Own 3D Scanner: Introduction 3d-scanners-3d-software-reviews.org CAVE | Projects: Diffuse Structured Light Today, structured light systems are widely used in applications such as robotic assembly, visual inspection, surgery, entertainment, games and digitization of cultural heritage. Current structured light methods are faced with two serious limitations. First, they are unable to cope with scene regions that produce strong highlights due to specular reflection. Second, they cannot recover useful information for regions that lie within shadows. Examples are shown in the above figure - a metal hemisphere (specularities) and a cube (shadows). We propose diffuse structured light, a simple but effective approach to mitigate both specularities and shadows in structured light methods.
3D Scanners, software, and models 3D Scanners, software, and models Universities and Institutions National Research Council (NRC) of Canada Visual Information Technology Group Laval Univertity Computer Vision and Systems Laboratory McGill University Artificial Perception Laboratory Carnegie Mellon University Vision and Sensor ProjectsParallel Computer Vision ProjectComputer Vision Home Page University of Pennsylvania ACORN (at the GRASP Laboratory) Columbia University Columbia Automated Vision EnvironmentReal-time sensors and systems University of Surrey Signal Processing Group3D Vision Research Washington State University 3D Object/Model Databases Commercial scanners Triangulation Time of flight / Phase difference Photogrammetry PhotoModeler Active Stereo Interferometry Laser InSpeck Touch probes, contact methods Destructive slicing Capture Geometry Inside Unknown Commercial software 3D Model Vendors Related Conferences and Workshops Other lists Original page by Brian Curless Last modified JUN 9, 00 Kari Pulli