1. Wheeler, R.E. Notes on View Camera Geometry. 2003, 55. www.bobwheeler.com/photo/ViewCam.pdf. 2. Wolf, P.R. and DeWitt, B.A. Elements of Photogrammetry(with.

Slides:



Advertisements
Similar presentations
3DM Analyst Open Mine Pit Measuring System ADAM Technology wishes to acknowledge Kundana Gold Mining Company for their assistance in the preparation of.
Advertisements

S.Kadnichanskiy Digital oblique images and their application. The possibility of aerial survey system A3 in taking oblique aerial photography.
GCR’s Restoration of Service Application (ROSA) consolidates reports from multiple outage utility companies and geographical areas into a consolidated.
3D Graphics Rendering and Terrain Modeling
Annual World Bank Conference on Land and Poverty – 2014 Integrating Land Governance into the Post Agenda Managing Mapping and Survey Records in a.
GIS and Image Processing for Environmental Analysis with Outdoor Mobile Robots School of Electrical & Electronic Engineering Queen’s University Belfast.
Why Road Geometry? Mobile Mapping Technology  The concept of active contours or snakes was first introduced by (Kass et al., 1988) and since then, it.
Your Data Any Place, Any Time Delivering Location Intelligence with Spatial Data.
1 Chapter 12: Decision-Support Systems for Supply Chain Management CASE: Supply Chain Management Smooths Production Flow Prepared by Hoon Lee Date on 14.
A Study of Approaches for Object Recognition
Unit One: GIS Concepts In this unit… ► What is GIS? ► Types of GIS data ► What can you do with GIS? ► ArcGIS 9 license levels ► Basics of the ArcGIS 9.
MUltimo3-D: a Testbed for Multimodel 3-D PC Presenter: Yi Shi & Saul Rodriguez March 14, 2008.
Supervised by Prof. LYU, Rung Tsong Michael Department of Computer Science & Engineering The Chinese University of Hong Kong Prepared by: Chan Pik Wah,
Flexible Bump Map Capture From Video James A. Paterson and Andrew W. Fitzgibbon University of Oxford Calibration Requirement:
1 An introduction to GIS for NOF projects Paul Miller Interoperability Focus UKOLN U KOLN is funded by Resource:
So What is GIS??? “A collection of computer hardware, software and procedures that are used to organize, manage, analyze and display.
1 Geographic Information Systems (GIS) Fundamentals for Program Managers.
1 UNIBO - Geomarketing - UNIT 3 - F. Fusco Francesco Fusco.
ICPCA 2008 Research of architecture for digital campus LBS in Pervasive Computing Environment 1.
Haptic: Image: Audio: Text: Landmark: YesNo YesNo YesNo YesNo YesNo Haptic technology, or haptics, is a tactile feedback technology that takes advantage.
Light Detection and Ranging (LiDAR) LiDAR is increasingly regarded as the de facto data source for the generation of Digital Elevation Models (DEMs) in.
Automatic Camera Calibration
GIS for Environmental Engineering
Modeling and representation 1 – comparative review and polygon mesh models 2.1 Introduction 2.2 Polygonal representation of three-dimensional objects 2.3.
Mobile Mapping Systems (MMS) for infrastructural monitoring and mapping are becoming more prevalent as the availability and affordability of solutions.
Navigating and Browsing 3D Models in 3DLIB Hesham Anan, Kurt Maly, Mohammad Zubair Computer Science Dept. Old Dominion University, Norfolk, VA, (anan,
Satellites in Our Pockets: An Object Positioning System using Smartphones Justin Manweiler, Puneet Jain, Romit Roy Choudhury TsungYun
6 am 11 am 5 pm Fig. 5: Population density estimates using the aggregated Markov chains. Colour scale represents people per km. Population Activity Estimation.
Lecture 11 Stereo Reconstruction I Lecture 11 Stereo Reconstruction I Mata kuliah: T Computer Vision Tahun: 2010.
Ref: Geographic Information System and Science, By Hoeung Rathsokha, MSCIM GIS and Remote Sensing WHAT.
A Java-based tool for determining if spatial objects (polygons) require simplification before delivery to a mobile device using a Location-based Service.
Technology and Historical Overview. Introduction to 3d Computer Graphics  3D computer graphics is the science, study, and method of projecting a mathematical.
WASET Defence, Computer Vision Theory and Application, Venice 13 th August – 14 th August 2015 A Four-Step Ortho-Rectification Procedure for Geo- Referencing.
Rendering Adaptive Resolution Data Models Daniel Bolan Abstract For the past several years, a model for large datasets has been developed and extended.
Exploitation of 3D Video Technologies Takashi Matsuyama Graduate School of Informatics, Kyoto University 12 th International Conference on Informatics.
11 Mobile GIS Technology >GTI’s technology for tracking and traceability with ASTM F2897: ─Tablet computer with mobile GIS data collection software ─High.
CSCE 5013 Computer Vision Fall 2011 Prof. John Gauch
Metadata and Geographical Information Systems Adrian Moss KINDS project, Manchester Metropolitan University, UK
The OpenStreetMap project The OpenStreetMap Project is one of the best known examples of Volunteered Geographic Information on the Internet today. The.
An Iterated Method to the Dubins Vehicle Travelling Salesman Problem OBJECTIVES Develop an algorithm to compute near optimal solutions to the Travelling.
Robust GW summary statistics & robust GW regression are used to investigate spatial variation and relationships in a freshwater acidification critical.
Vvisual comparision of data Measuring the quality of Volunteered Geographic Information (VGI) datasets such as OpenStreetMap is often attempted without.
Dr.-Ing. Jens Hartmann, Account Manager The complete Process of Census/Surveys Data Processing – Where GIS can assist! May 2008, Doha, Qatar.
MD : ATIKUL ISLAM JUNIOR INSTRACTOR DEPT. OF. CIVIL SUB: surveying3 SUB CODE : 6452 MOB:
Tables tables are rows (across) and columns (down) common format in spreadsheets multiple tables linked together create a relational database entity equals.
Information Systems Engineering. Lecture Outline Information Systems Architecture Information System Architecture components Information Engineering Phases.
Pusan National University, Korea Joon-Seok Kim Taehoon Kim Ki-Joune Li.
INTRODUCTION TO GEOGRAPHICAL INFORMATION SCIENCE RSG620 Week 1, Lecture 2 April 11, 2012 Department of RS and GISc Institute of Space Technology, Karachi.
MIRALab Where Research means Creativity SVG Open 2005 University of Geneva 1 Converting 3D Facial Animation with Gouraud shaded SVG A method.
Robust GW summary statistics & robust GW regression are used to investigate a freshwater acidification data set. Results show that data relationships can.
GEON2 and OpenEarth Framework (OEF) Bradley Wallet School of Geology and Geophysics, University of Oklahoma
2005/12/021 Fast Image Retrieval Using Low Frequency DCT Coefficients Dept. of Computer Engineering Tatung University Presenter: Yo-Ping Huang ( 黃有評 )
A Software Framework for Distributed Services Michael M. McKerns and Michael A.G. Aivazis California Institute of Technology, Pasadena, CA Introduction.
Surveying and Mapping Techniques in Land Management Matthew Delano, LS Trimble Cadastral Solutions 18 th September 2012.
A Flexible New Technique for Camera Calibration Zhengyou Zhang Sung Huh CSPS 643 Individual Presentation 1 February 25,
The geometry of the system consisting of the hyperbolic mirror and the CCD camera is shown to the right. The points on the mirror surface can be expressed.
Maps Without Boundaries Howard Klayman. Key Takeaways - GeoPDF Technology Provide access to geospatial data for anyone, anywhere GeoPDF Mapbooks provide.
INTRODUCTION TO GIS  Used to describe computer facilities which are used to handle data referenced to the spatial domain.  Has the ability to inter-
Big traffic data processing framework for intelligent monitoring and recording systems 學生 : 賴弘偉 教授 : 許毅然 作者 : Yingjie Xia a, JinlongChen a,b,n, XindaiLu.
Visual Odometry David Nister, CVPR 2004
Towards Unifying Vector and Raster Data Models for Hybrid Spatial Regions Philip Dougherty.
HFE 760 Virtual Environments Winter 2000 Jennie J. Gallimore
Digital Census Mapping Process: United Nations Statistics Division
Landscape Animation Summary of an experimental approach to inform the use of camera dynamics in visualization.
Chun-Yuan Lin Coordinate Reference Frames 2016/6/22 1 CG.
David Belton and Geoff West CRC for Spatial Information Department of Spatial Sciences Curtin University 1.
Three Dimensional Viewing
3D Graphics Rendering PPT By Ricardo Veguilla.
Factors that Influence the Geometric Detection Pattern of Vehicle-based Licence Plate Recognition Systems Martin Rademeyer Thinus Booysen, Arno Barnard.
Title of poster... M. Author1, D. Author2, M. Author3
Presentation transcript:

1. Wheeler, R.E. Notes on View Camera Geometry. 2003, Wolf, P.R. and DeWitt, B.A. Elements of Photogrammetry(with Applications in GIS). McGraw-Hill Higher Education, Vincenty, T. Direct and Inverse Solutions of Geodesics on the ellipsoid with application of nested equations. Survey Review 23, 176 (1975), Modelling Spatial Video as part of a GIS Video-Analysis Framework Paul Lewis Introduction Research presented in this poster was funded by a Strategic Research Cluster Grant (07/SRC/I1168) by Science Foundation Ireland under the National Development Plan. The authors gratefully acknowledge this support. Spatial Video Data Model Results and Applications References Viewpoint Implementation Figure 3 Software module for semi- supervised spatial video Viewpoint fitting. It is now common for video; real-time and collected, mobile and static, to be georeferenced and stored in large archives for users of expert systems to access and interact with. In the ground-based terrestrial context georeferenced video is also becoming more commonly collected and accessed in recent years. The collecting, storing and distributing of these data are now more easily achieved through the development and affordability of dedicated systems such as Mobile Mapping Systems (MMS), the StratAG XP1 experimental platform is shown in figure 1. Such MMS are being used for infrastructural monitoring and mapping because they can now generate high accuracy geospatial data. Camera Model (table 1) The Circle Of Confusion (COC) measurement is the maximum permissible blur circle for an image and directly affects the Depth- Of-Field (DOF) calculations. An Angle-Of-View (AOV) represents the camera lens properties as an arc angle. A DOF Hyperfocal Distance is a measurable distance in front of the camera lens from which point to infinity the DOF extends. In figure 5 we show one result from the large system calibration testing. While in figure 6 we highlight one GIS analysis operation on a large spatial video data warehouse. In this case a buildings footprint data set is used to generate higher accuracy Viewpoints by intersecting both GIS constrained spatial data sets. Figure 1: StratAG Mobile Mapping System (MMS) XP1 experimental platform. However, significant problems exist for access to large volumes of archived georeferenced MMS data in a GIS context, particularly Video which is the subject of this poster. These include the semantics behind the modelling of its spatial content and the development of a computationally efficient query model that can isolate video sequences of geographical interest. This poster outlines a georeferenced-video framework where a GIS-viewshed oriented approach to modelling and querying terrestrial mobile imagery is detailed. Technically, this viewshed model implements a subtle and more flexible optimisation of the Open Geospatial Consortiums (OGC) Geo-Video (GVS) ViewCone data type, however, it does define some fundamentally different properties. This in turn has enable a significantly different spatial context to be defined for the geographic space that terrestrial mobile video captures by optimising it in terms of areal coverage and perceptible depth. A view frustum model, calculated from the camera parameters, forms the basis of the geographical extent representation of each spatial video frame (or static sequence). The OGC GVS implementation uses this principle in a, restricted, two dimensional ViewCone data structure. Our Viewpoint approach (figure 2) has lead to a distinct change in the overall GVS data structure from a single polygonal representation of space to a capture point and disconnected but associated image-space polygon representation set. The camera image-capture location is represented by a point while the polygon defines the geographical space, as the optimized focus range, for the image space of each frame. Figure 3 shows a software tool for semi-supervised fitting of spatial video to a Viewpoint data view in a GIS. In this tool both the GIS space and the camera/image properties can be adjusted to achieve an accurate geographical space representation. Figure 2: 3D Spatial Video Viewpoint. Figure 4:. Spatial video post- survey processing flowchart. Spatial Data: decode GPS NMEA messages Video Data: Converted to an easily indexed format Spatial Video Viewpoints Model (Figure 2) GIS Query and Analysis of Viewpoints DB Spatial Video Survey data loaded onto PC. Decode Video Frame Index ID's Store Video Automatic Database Population process Spatial Video Player/Viewer Using standard photogrammetric methods from camera calibration literature, [1][2], and used in a general case like this we implement the following steps to generate a Viewpoints extents: Figure 6: Using buildings footprint spatial data to generate higher accuracy Viewpoints. Calculation OperationEquation Circle of Confusion (COC) Angle-Of-View (AOV) Depth-Of-Field (DOF) Hyperfocal Distance Near Limit DOF Far Limit DOFNear Limit DOF + View Limit Spatial Extrapolation Model The automated process performed by the software shown in figure 3 is highlighted here in figure 4. 1.Adjust the GPS coordinates to be coincident with the principle point of the camera image plane. 2.Calculate an adjusted Hyperfocal Sharpness Distance to the eight Viewpoint plane intersection points, figure 3. 3.Calculate an adjusted azimuth. 4.Calculate adjusted altitudes of the Viewpoint plane intersection points. 5.Use these results to solve the 3D geodetic forward algorithm as defined in Vincenty, [3]. Table 1. Implemented Camera Model Operations Viewpoint LinePointPoint to Line Distance in MetersResult C to DX0.798mtrsInside C to DW0.026mtrsInside A to BY1.066mtrsOutside A to BZ0.051mtrsInside Figure 5: Plan view of Viewpoint fitting in test scenario showing accuracy results.