[PDF] A Cross-Platform Open Source 3D Object Reconstruction System





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yuji@udel.edu Homepage: https://yeauxji.github.io Education

Develop algorithm capture system for 3D Reconstruction. DGene Lab Baton Rouge



Camera Calibration Camera Autocalibration

8 abr 2019 Reference: OpenCV calibration module ... https://github.com/ethz-asl/kalibr ... 3D reconstruction tool developed at Telefonica R&D 2008.



Implementation of a 3D pose estimation algorithm

OpenCV provides a module for Camera Calibration and 3D Reconstruction which has several functions for basic multiple-view geometry algorithms single and stereo 



3D Surface Reconstruction Using Photometric Stereo Approach

The 3D reconstruction of a surface from images alone has many useful applications: 1) In the entertainment industry it has been widely applied in the process.



Table of Contents Camera model

In this model a scene view is formed by projecting 3D Upgrade the projective reconstruction and camera matrices to affine reconstruction and.



3D Reconstruction Using a Linear Laser Scanner and A Camera

Keywords-3D Reconstruction laser scanner



EECS C106B Project 3: Multi-View 3D Reconstruction

your own feature extraction and matching algorithms using OpenCV. 3 Project Tasks. You will implement a number of 3D reconstruction and feature matching 



Presentazione standard di PowerPoint

Bradsky to manage Intel's Russian software OpenCV team. GitHub: https://github.com/opencv/ ... Camera Calibration and 3D Reconstruction (calib3d).



A Cross-Platform Open Source 3D Object Reconstruction System

active contact-free triangulation-based 3D object reconstruction uses OpenCV and 3DTK (available on Mac GNU/Linux



Dissertation - High- ality 3D Reconstruction from Low-Cost RGB-D

is thesis explores the reconstruction of high-quality 3D models of real-world scenes from low-cost commodity RGB-D sensors such as the Microso Kinect.

A Cross-Platform Open Source 3D Object

Reconstruction System using a Laser Line Projector

School of Engineering and Sciences

Jacobs University Bremen

Bremen, Germany

November 2012Vaibhav Bajpai and Vladislav PerelmanIEEE GSC 2012, Passau

Overview

Motivation and GoalsApproachExperimental ResultsFuture Work, Conclusion

Data AcquisitionCamera CalibrationIdentification of 2D Laser Lines and Object PointsPoint Cloud GenerationPoint Cloud Processing and Registration

Overview

Motivation and GoalsApproachExperimental ResultsFuture Work, Conclusion

Data AcquisitionCamera CalibrationIdentification of 2D Laser Lines and Object PointsPoint Cloud GenerationPoint Cloud Processing and Registration

Motivation

Conclusion

4/29 active contact-free triangulation-based 3D object reconstruction techniques have been known for more than a decade time-of-flight method used in engineering industry there is a need for a low-cost solution. structured light method used by Microsoft Kinect

Stereophotogrammetry used in Google Maps

rely on high-precision expensive actuators to move the laser, depend on external sensors to track the scanner

Motivation

Conclusion

David Laser Scanner initially started to solve this issue. the package is no longer free, runs only on Windows it uses self-calibration to eliminate the need of external sensors the concept has been published as a research paper [1] A need for a free alternative to the David Laser Scanner 5/29 Goals

Conclusion

This paper presents how we used these programming tools as basic building blocks to bring the David Laser Scanner concept into reality.

Open-source

Cross-platformwritten in standard C++uses OpenCV and 3DTK (available on Mac, GNU/Linux, Windows)Fork us on Github*

Free utilized by a low-cost inexpensive hardware * https://github.com/vbajpai/projectionlaserscanner 6/29

Overview

Motivation and GoalsApproachExperimental ResultsFuture Work, Conclusion

Data AcquisitionCamera CalibrationIdentification of 2D Laser Lines and Object PointsPoint Cloud GenerationPoint Cloud Processing and Registration

Data Acquisition

Conclusion

a hand-held laser sweeps across the object, while an inexpensive web camera captures these multiple runs mplayer to extract frames $ mplayer -demuxer rawvideo \ -rawvideo fps=5:w=1600:h=1200:yuy2 \-vo pnm:ppm $FILE read frames using OpenCV

IplImage *img =

cvLoadImage (CV_LOAD_IMAGE_UNCHANGED);filename.c_str(), 8/29

Camera Calibration

Conclusion

to establish a mathematical relationship between the natural units of the camera with the physical units of the 3D world points in image plane points in the world coordinate system camera intrinsicscamera extrinsics intrinsic calibrationextrinsic calibration vector cameraParameters = camera->calibrate(imageList);

0cameraMatrix1rotationVector (R1 and R2)2translationVector (T1 and T2)

9/29

Intrinsic Calibration

Conclusioncalibration object: planar chessboard pattern int ifFound = cvFindChessboardCorners (&cvFindCornerCount,img,cvSize(WIDTH, HEIGHT),corners,);

use OpenCV to locate cornersrotate/translate the pattern to provide multiple viewsuse OpenCV to calculate intrinsic matrix

cvCalibrateCamera2 (cameraMatrix, distCoeffs, objectPoints, imagePointspointCounts, cvGetSize(img), );rvecs, tvecs

Extrinsic Calibration

Conclusion

patterns are masked to allow individual calculation use OpenCV to calculate camera extrinsics cvFindExtrinsicCameraParams2 (cameraMatrix, distCoeffs, objectPoints, imagePoints,);rvecs, tvecs

R1 | T1R2 | T2

11/29

Identification of 2D Laser Lines

Conclusion

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