Virtual Reality and Scientific Visualization in Archaeological Research.

Slides:



Advertisements
Similar presentations
Collections Management Software for Museums and Archives r e d i s c o v e r y s o f t w a r e. c o m O V E R V I E W P R E S E N T A T I O N.
Advertisements

SEMINAR ON VIRTUAL REALITY 25-Mar-17
Intervention Ideas Based on Characteristics
Background Implementation of Gesture Recognition in the NIST Immersive Visualization Environment Luis D. Catacora Under the guidance of Judith Terrill.
MTP – Stage 1 Sanobar Nishat. Outline  Peculiarities of the mobile visualization context  Different aspects of mobile visualization design  Map-based.
Virtual Reality Design Virtual reality systems are designed to produce in the participant the cognitive effects of feeling immersed in the environment.
Archaeological Methods REL 101 Dr. Victor H. Matthews.
Searching For Clues About the Past. Hmmmm….What is it that Archaeologists REALLY do? What comes to your mind when you think about the work of archaeologists?
Ch 7 & 8 Interaction Styles page 1 CS 368 Designing the Interaction Interaction Design The look and feel (appearance and behavior) of interaction objects.
What can CS do for Archaeology? (and vice versa) John Hughes Brown University Providence (visiting EVASION/INRIA ) All images courtesy of Eileen.
RRT-Connect path solving J.J. Kuffner and S.M. LaValle.
ARCHAVE ARCHAVE A Three Dimensional GIS For a CAVE Environment Team: Eileen Vote Daniel Acevedo Feliz Martha Sharp Joukowsky David H. Laidlaw.
2D or 3D ? Presented by Xu Liu, Ming Luo. Is 3D always better than 2D? NO!
DoW text: Task and WP leaders will prepare syntheses reports of the project progress, its results and its implications. These synthesis reports will be.
Statistical Natural Language Processing. What is NLP?  Natural Language Processing (NLP), or Computational Linguistics, is concerned with theoretical.
2.03B Common Types and Interface Devices and Systems of Virtual Reality 2.03 Explore virtual reality.
Multimedia Design. Table of Content 1.Navigational structures 2.Storyboard 3.Multimedia interface components 4.Tips for interface design.
Abstract # 0000 Make the Main Title with Large Bold Type Your Name Here Your Department Here Texas A&M Health Science Center Make the Main Title with Large.
MS Access Advanced Instructor: Vicki Weidler Assistant:
INDEXING A good index combines intelligence with user language to create lookup terms The first task is to scope the pieces of information – a list of.
Modularly Adaptable Rover and Integrated Control System Mars Society International Conference 2003 – Eugene, Oregon.
Introduction Methodology Results This study aims to explore the current progress of using different types of software with various autism conditions. One.
Make the Main Title with Large Bold Type Your Name and Title Here Your Department Here Texas A&M Health Science Center Make the Main Title with Large Bold.
1/28 Using PowerPoint for Academic Presentations How to… How NOT to…
Microsoft Wang Li, Wang Yini, Li YIcheng.  This is a presentation about Microsoft Windows7 guidelines  Wang Li K8wali00  Li Yicheng K8liyi00  Wang.
Dynamic Queries –presented by Bhaskar Chatterjee Visual Alternative to SQL for Querying databases Depending on data types and the values decides the input.
Abstract # 0000 Make the Main Title with Large Bold Type Use Smaller Type for the Subtitle. Above Type is 105pt. This Type is 70pt. Make authors’ names.
JASS 2005 Next-Generation User-Centered Information Management Information visualization Alexander S. Babaev Faculty of Applied Mathematics.
© 2010 Pearson Addison-Wesley. All rights reserved. Addison Wesley is an imprint of Designing the User Interface: Strategies for Effective Human-Computer.
Copyright OpenHelix. No use or reproduction without express written consent1.
Towards Cognitive Robotics Biointelligence Laboratory School of Computer Science and Engineering Seoul National University Christian.
Information Visualization Using 3D Interactive Animation Meng Tang 05/17/2001 George G. Robertson, Stuart K. Card, and Jock D. Mackinlay.
Building Three-Dimensional Models of Archeological Sites by Creating a Specialized GIS for Archeologists John Samuelsen CIS 4914 Senior Project 4/14/04.
Academic Scientists at Work
 ByYRpw ByYRpw.
GENESIS OF VIRTUAL REALITY  The term ‘Virtual reality’ (VR) was initially coined by Jaron Lanier, founder of VPL Research (1989)..
Information Visualization: Ten Years in Review Xia Lin Drexel University.
Advanced Scientific Visualization
KIDSPIRATION KIDSPIRATION Is this software.
Video Eyewear for Augmented Reality Presenter: Manjul Sharma Supervisor: Paul Calder.
Integrating Active Tangible Devices with a Synthetic Environment for Collaborative Engineering Sandy Ressler Brian Antonishek Qiming Wang Afzal Godil National.
Copyright © 2005, Pearson Education, Inc. Slides from resources for: Designing the User Interface 4th Edition by Ben Shneiderman & Catherine Plaisant Slides.
2.03 Explore virtual reality design and use.
Software Project MassAnalyst Roeland Luitwieler Marnix Kammer April 24, 2006.
VisDB: Database Exploration Using Multidimensional Visualization Maithili Narasimha 4/24/2001.
Human Centric Computing (COMP106) Assignment 2 PROPOSAL 23.
Daniel A. Keim, Hans-Peter Kriegel Institute for Computer Science, University of Munich 3/23/ VisDB: Database exploration using Multidimensional.
INTRODUCTION GORT is a virtual 3D modeling environment for computer programmers. Its main area of focus is to aid in the education of programmers learning.
VIRTUAL REALITY PRESENTED BY, JANSIRANI.T, NIRMALA.S, II-ECE.
Users and the Interface When designing an information system you need to have a clear idea of who the target audience is. If the target audience is an.
DESIGNING AN ARTICLE Effective Writing 3. Objectives Raising awareness of the format, requirements and features of scientific articles Sharing information.
Mr. Munaco Computer Technology TEACHING ADVANCED WORD 2007.
Types of Information Systems Basic Computer Concepts Types of Information Systems  Knowledge-based system  uses knowledge-based techniques that supports.
Zach Miller Computer Sciences Department University of Wisconsin-Madison Supporting the Computation Needs.
Make the Main Title with Large Bold Type Use Smaller Type for the Subtitle. Above Type is 110pt. This Type is 80pt. Make authors’ names smaller. This is.
Virtual Reality Prepared By Name - Abhilash Mund Regd.No Branch - Comp.sc & engg.
Gateway – Unit 7 – Green Architecture
CSC420 Navigation.
Ubiquitous Computing and Augmented Realities
Advanced Scientific Visualization
Knut Kröger & Reiner Creutzburg
Plant and animal life VARIES on our earth
Visualization of Web Search Results in 3D
N. Capp, E. Krome, I. Obeid and J. Picone
Chapter 1: The World of Physical Science
CHAPTER 7: Information Visualization
Kuliah #5: Direct Manipulation and Virtual Environments
Tutorial 7 – Integrating Access With the Web and With Other Programs
PubMed Database Interface (Basic Course: Module 4)
Part 2: Plotting the Course
Presentation transcript:

Virtual Reality and Scientific Visualization in Archaeological Research

Introduction: The Great Temple, Petra, Jordan Excavations 1993-present Over 70 Trenches Excavated Database with over 250,000 Finds Excavations 1993-present Over 70 Trenches Excavated Database with over 250,000 Finds

Data Modeling Possibilities: Site and Trench Modeling Methods Data Visualization - Artifact Concentrations by Color Blocking Data Visualization - Artifact Concentrations by Cluster Interface Possibilities: Movement and Scale Selection Orientation Searches in the System Research Conclusions: Data Modeling Possibilities: Site and Trench Modeling Methods Data Visualization - Artifact Concentrations by Color Blocking Data Visualization - Artifact Concentrations by Cluster Interface Possibilities: Movement and Scale Selection Orientation Searches in the System Research Conclusions: Overview: Visualizing and Searching Three Dimensional Archaeological Data Overview: Visualizing and Searching Three Dimensional Archaeological Data

Site and Trench Modeling Methods: In situ architecture, trenches and loci modeled. Data can be plotted such as stratigraphy, bulk finds and special finds. As the user investigates the site in the Cave, trenches and loci can be turned on and off for better access or to focus on a specific area. The database of objects contains relative locations of bulk finds in each loci and exact locations for special finds.

Data Visualization: Artifact Concentrations Shown by Color Blocking each Loci to Indicate Quantity Data Visualization: Artifact Concentrations Shown by Color Blocking each Loci to Indicate Quantity It’s difficult to see loci under or behind trenches in the Immediate field of view. The user may have a hard time associating objects with architecture. Several object types cannot be shown at once. It’s difficult to see loci under or behind trenches in the Immediate field of view. The user may have a hard time associating objects with architecture. Several object types cannot be shown at once.

Data Visualization: Artifact Concentrations Shown by Color Blocking each Loci to Indicate Quantity (cont.)

Data Visualization: Artifact Concentrations Shown by Clusters, Colors Represent Artifact Types, Slide One Data Visualization: Artifact Concentrations Shown by Clusters, Colors Represent Artifact Types, Slide One Pottery Finds = Red

Data Visualization: Artifact Concentrations Shown by Clusters, Colors Represent Artifact Types, Slide Two Data Visualization: Artifact Concentrations Shown by Clusters, Colors Represent Artifact Types, Slide Two Coin Finds = Yellow

Data Visualization: Artifact Concentrations Shown by Clusters, Colors Represent Artifact Types, Slide Three Data Visualization: Artifact Concentrations Shown by Clusters, Colors Represent Artifact Types, Slide Three Bone Finds = Green

Data Visualization: Artifact Concentrations, Stratigraphy, Special Finds and Other Features can be modeled in abstract ways. Data Visualization: Artifact Concentrations, Stratigraphy, Special Finds and Other Features can be modeled in abstract ways.

Interface Possibilities: Movement and Scale Selection Orientation Searches in the System Interface Possibilities: Movement and Scale Selection Orientation Searches in the System

Interface Possibilities: Movement and Scale Long/Coarse Movements user will access a smaller version of the world (WIM) Once the user initiates the WIM mode he/she walk around the model and interact with it freely. Detail Exploration – Full Scale Model The user will navigate in this scale through a special gestural interface where small head and body movements will allow the user to have access to a specific region. These methods are less tiring for the user and more natural. Allowing the user to change scales easily provides an appropriate vantage point to answer specific questions. Interface Possibilities: Movement and Scale Long/Coarse Movements user will access a smaller version of the world (WIM) Once the user initiates the WIM mode he/she walk around the model and interact with it freely. Detail Exploration – Full Scale Model The user will navigate in this scale through a special gestural interface where small head and body movements will allow the user to have access to a specific region. These methods are less tiring for the user and more natural. Allowing the user to change scales easily provides an appropriate vantage point to answer specific questions.

Interface Possibilities: Selection

Interface Possibilities: Orientation Visual Clutter: When interacting with a full scale model, there is a lot of abstract visual information surrounding the user and there’s a tendency to get confused. Landmarks: Providing the user with a series of consistent – recognizable landmarks allows users a reference when they get confused. Interface Possibilities: Orientation Visual Clutter: When interacting with a full scale model, there is a lot of abstract visual information surrounding the user and there’s a tendency to get confused. Landmarks: Providing the user with a series of consistent – recognizable landmarks allows users a reference when they get confused.

Searches in the System: Current searches include 6 artifacts types and special finds. Users are limited 3 buttons and 1 glove command to initiate queries with. We would like to be able to access all the artifacts and do a large variety of queries with combinations of different finds. Searches in the System: Current searches include 6 artifacts types and special finds. Users are limited 3 buttons and 1 glove command to initiate queries with. We would like to be able to access all the artifacts and do a large variety of queries with combinations of different finds.

Conclusion: We have tried to solve a very general yet complicated problem, in terms of the geometry of our model, the data types involved, the amount of data and the types of analysis required. We are trying to accommodate the needs of Archaeologists within the research aims and with the advice of Computer Science/Virtual Reality Interface and Cognitive Science. Using this method we can develop novel user interfaces, advanced visual search methods in three dimensions and new methods for analyzing the 3D aspects of Archaeological data.