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2009. 9. 2. 17:51 Computer Vision
전자통신동향분석 22권 4호 (통권 106호) (발행일 : 2007.08)
모바일 혼합현실 기술 (Mobile Mixed Reality Technology)

저     자: 김기홍, 김홍기, 정혁, 김종성, 손욱호 / 가상현실연구팀
발행일자: 2007.08.15
발행권호: 22권 4호 (통권 106)
페 이 지: 96
논문구분: 융합 시대를 주도할 디지털콘텐츠 기술 특집 논문

초     록
혼합현실 기술을 휴대가 용이한 모바일 기기상에서 효과적으로 구현하기 위해서는 기기에 부착된 카메라의 위치를 인식하는 기술을 시작으로 입력된 실세계 공간에 가상의 디지털 정보를 정합하고 표현하는 기술, 사용자가 표현된 혼합현실 환경과 현실감있게 상호작용하는 기술, 그리고 다양한 응용분야에 맞게 혼합현실 콘텐츠를 저작하는 기술에 이르기까지 여러 가지 세부 기술들이 요구된다. 본 논문에서는 언급한 세부 기술들에 대한 개요와 국내외적으로 진행되고 있는 관련 기술들의 동향을 구체적인 사례를 통해 소개한다.
 
 
ARToolKit (Augmented Reality Tool Kit)
http://www.hitl.washington.edu/artoolkit/
software library for building Augmented Reality (AR) applications

MR-Platform

MxToolKit

ARTag
http://www.artag.net/

OSGART
http://www.osgart.org/
http://www.artoolworks.com/community/osgart/
C++ cross-platform development library that simplifies the development of Augmented Reality or Mixed Reality applications by combining computer vision based tracking libraries (e.g. ARToolKit, ARToolKitPlus, SSTT and BazAR) with the 3D scene graph libary OpenSceneGraph

AMIRE
http://www.amire.net/
http://sourceforge.net/projects/amire/
project about the efficient creation and modification of augmented reality (AR) and mixed reality (MR) applications

APRIL (Augmented Presentation and Interaction Authoring Language)
http://studierstube.icg.tu-graz.ac.at/april/
http://www.icg.tugraz.at/pub/APRIL
high-level descriptive language for authoring presentations in augmented reality (AR)

DART (The Designer's Augmented Reality Toolkit)
http://www.cc.gatech.edu/dart/
a set of software tools that support rapid design and implementation of augmented reality experiences and applications

ULTRA (Ultra portable augmented reality for industrial maintenance applications)
http://www.ist-ultra.org/


Authoring Tool

CMIL++




posted by maetel
2009. 7. 14. 21:23 Computer Vision
ISMAR 2008
7th IEEE/ACM International Symposium on Mixed and Augmented Reality, 2008


Proceedings
State of the Art Report

Trends in Augmented Reality Tracking, Interaction and Display
: A Review of Ten Years of ISMAR
Feng Zhou (Center for Human Factors and Ergonomics, Nanyang Technological University, Singapore)
Henry Been-Lirn Duh (Department of Electrical and Computer Engineering/Interactive and Digital Media Institute, National University of Singapore)
Mark Billinghurst (The HIT Lab NZ, University of Canterbury, New Zealand)


Tracking

1. Sensor-based tracking -> ubiquitous tracking and dynamic data fusion

2. Vision-based tracking: feature-based and model-based
1) feature-based tracking techniques:
- To find a correspondence between 2D image features and their 3D world frame coordinates.
- Then to find the camera pose from projecting the 3D coordinates of the feature into the observed 3D image coordinates and minimizing the distance to their corresponding 3D features.

2) model-based tracking techniques:
- To explicitly use a model of the features of tracked objects such as a CAD model or 2D template of the object based on the distinguishable features.
- A visual serving approach adapted from robotics to calculate camera pose from a range of model features (line, circles, cylinders and spheres)
- knowledge about the scene by predicting hidden movement of the object and reducing the effects of outlier data

3. Hybrid tracking
- closed-loop-type tracking based on computer vision techonologies
- motion prediction
- SFM (structure from motion)
- SLAM (simultaneous localization and mapping)


Interaction and User Interfaces

1. Tangible
2. Collaborative
3. Hybrid


Display

1. See-through HMDs
1) OST = optical see-through
: the user to see the real world with virtual objects superimposed on it by optical or video technologies
2) VST = video see-through
: to display graphical infromation directly on real objects or even daily surfaces in everyday life
2. Projection-based Displays
3. Handheld Displays


Limitations of AR

> tracking
1) complexity of the scene and the motion of target objects, including the degrees of freedom of individual objects and their represenation
=> correspondence analysis: Kalman filters, particle filters.
2) how to find distinguishable objects for "markers" outdoors

> interaction
ergonomics, human factors, usability, cognition, HCI (human-computer interaction)

> AR displays
- HMDs - limited FOV, image distortions,
- projector-based displays - lack mobility, self-occlusion
- handheld displays - tracking with markers to limit the work range

Trends and Future Directions

1. Tracking
1) RBPF (Rao-Blackwellized particle filters) -> automatic recognition systems
2) SLAM, ubiquitous tracking, sensor network -> free from prior knowledge
3) pervasive middleware <- information fusion algorithms

2. Interaction and User Interfaces
"Historically, human knowledge, experience and emotion are expressed and communicated in words and pictures. Given the advances in interface and data capturing technology, knowledge, experience and emotion might now be presented in the form of AR content."

3. AR Displays





Studierstube Augmented Reality Project
: software framework for the development of Augmented Reality (AR) and Virtual Reality applications
Graz University of Technology (TU Graz)

Sharedspace project
The Human Interface Technology Laboratory (HITLab) at the University ofWashington and ATR Media Integration & Communication in Kyoto,Japan join forces at SIGGRAPH 99

The Invisible Train - A Handheld Augmented Reality Game

AR Tennis
camera based tracking on mobile phones in face-to-face collaborative Augmented Reality

Emmie - Environment Management for Multi-User Information Environments

VITA: visual interaction tool for archaeology

HMD = head-mounted displays

OST = optical see-through

VST = video see-through

ELMO: an Enhanced optical see-through display using an LCD panel for Mutual Occlusion

FOV
http://en.wikipedia.org/wiki/Field_of_view_(image_processing)

HMPD = head-mounted projective displays

The Touring Machine

MARS - Mobile Augmented Reality Systems
    
Klimt - the Open Source 3D Graphics Library for Mobile Devices

AR Kanji - The Kanji Teaching application


references  
Ronald T. Azuma  http://www.cs.unc.edu/~azuma/
A Survey of Augmented Reality. Presence: Teleoperators and Virtual Environments 6, 4 (August 1997), 355 - 385. Earlier version appeared in Course Notes #9: Developing Advanced Virtual Reality Applications, ACM SIGGRAPH '95 (Los Angeles, CA, 6-11 August 1995), 20-1 to 20-38.

Ronald Azuma, Yohan Baillot, Reinhold Behringer, Steven Feiner,Simon Julier, Blair MacIntyre
Recent Advances in Augmented Reality.IEEE Computer Graphics and Applications 21, 6 (Nov/Dec 2001),34-47.

Ivan E. Sutherland
The Ultimate Display, IFIP `65, pp. 506-508, 1965

Kato, H.   Billinghurst, M.   Poupyrev, I.   Imamoto, K.   Tachibana, K.   Hiroshima City Univ.
Virtual object manipulation on a table-top AR environment

Sandor, C., Olwal, A., Bell, B., and Feiner, S. 2005.
Immersive Mixed-Reality Configuration of Hybrid User Interfaces.
In Proceedings of the 4th IEEE/ACM international Symposium on Mixed and Augmented Reality(October 05 - 08, 2005). Symposium on Mixed and Augmented Reality. IEEEComputer Society, Washington, DC, 110-113. DOI=http://dx.doi.org/10.1109/ISMAR.2005.37

An optical see-through display for mutual occlusion with a real-time stereovision system
Kiyoshi Kiyokawa, Yoshinori Kurata and Hiroyuki Ohno
Computers & Graphics Volume 25, Issue 5, October 2001, Pages 765-779

Bimber, O., Fröhlich, B., Schmalstieg, D., and Encarnação, L. M. 2005.
The virtual showcase. In ACM SIGGRAPH 2005 Courses (Los Angeles, California, July 31 - August 04, 2005). J. Fujii, Ed. SIGGRAPH '05. ACM, New York, NY, 3. DOI= http://doi.acm.org/10.1145/1198555.1198713

Bimber, O., Wetzstein, G., Emmerling, A., and Nitschke, C. 2005.
Enabling View-Dependent Stereoscopic Projection in Real Environments. In Proceedings of the 4th IEEE/ACM international Symposium on Mixed and Augmented Reality (October 05 - 08, 2005). Symposium on Mixed and Augmented Reality. IEEE Computer Society, Washington, DC, 14-23. DOI= http://dx.doi.org/10.1109/ISMAR.2005.27

Cotting, D., Naef, M., Gross, M., and Fuchs, H. 2004.
Embedding Imperceptible Patterns into Projected Images for Simultaneous Acquisition and Display. In Proceedings of the 3rd IEEE/ACM international Symposium on Mixed and Augmented Reality (November 02 - 05, 2004). Symposium on Mixed and Augmented Reality. IEEE Computer Society, Washington, DC, 100-109. DOI= http://dx.doi.org/10.1109/ISMAR.2004.30

Ehnes, J., Hirota, K., and Hirose, M. 2004.
Projected Augmentation - Augmented Reality using Rotatable Video Projectors. In Proceedings of the 3rd IEEE/ACM international Symposium on Mixed and Augmented Reality (November 02 - 05, 2004). Symposium on Mixed and Augmented Reality. IEEE Computer Society, Washington, DC, 26-35. DOI= http://dx.doi.org/10.1109/ISMAR.2004.47

Arango, M., Bahler, L., Bates, P., Cochinwala, M., Cohrs, D., Fish, R., Gopal, G., Griffeth, N., Herman, G. E., Hickey, T., Lee, K. C., Leland, W. E., Lowery, C., Mak, V., Patterson, J., Ruston, L., Segal, M., Sekar, R. C., Vecchi, M. P., Weinrib, A., and Wuu, S. 1993.
The Touring Machine system. Commun. ACM 36, 1 (Jan. 1993), 69-77. DOI= http://doi.acm.org/10.1145/151233.151239

Gupta, S. and Jaynes, C. 2006.
The universal media book: tracking and augmenting moving surfaces with projected information. In Proceedings of the 2006 Fifth IEEE and ACM international Symposium on Mixed and Augmented Reality (Ismar'06) - Volume 00 (October 22 - 25, 2006). Symposium on Mixed and Augmented Reality. IEEE Computer Society, Washington, DC, 177-180. DOI= http://dx.doi.org/10.1109/ISMAR.2006.297811


Klein, G. and Murray, D. 2007.
Parallel Tracking and Mapping for Small AR Workspaces. In Proceedings of the 2007 6th IEEE and ACM international Symposium on Mixed and Augmented Reality - Volume 00 (November 13 - 16, 2007). Symposium on Mixed and Augmented Reality. IEEE Computer Society, Washington, DC, 1-10. DOI= http://dx.doi.org/10.1109/ISMAR.2007.4538852

Neubert, J., Pretlove, J., and Drummond, T. 2007.
Semi-Autonomous Generation of Appearance-based Edge Models from Image Sequences. In Proceedings of the 2007 6th IEEE and ACM international Symposium on Mixed and Augmented Reality - Volume 00 (November 13 - 16, 2007). Symposium on Mixed and Augmented Reality. IEEE Computer Society, Washington, DC, 1-9. DOI= http://dx.doi.org/10.1109/ISMAR.2007.4538830

posted by maetel
2009. 2. 14. 17:27 Computer Vision
IEEE Transactions on Robotics, Volume 24, Number 5, October 2008
: Visual SLAM Special Issue

Guest Editorial: Special Issue on Visual SLAM


simultaneous localization mapping (SLAM)
in autonomous mobile robotics
using laser range-finder sensors
to build 2-D maps of planar environments

SLAM with standard cameras:
feature detection
data association
large-scale state estimation

SICK laser scanner


Kalman filter
Particle filter
submapping

http://en.wikipedia.org/wiki/Particle_filter
particle filter = sequential Monte Carlo methods (SMC)


http://en.wikipedia.org/wiki/Image_registration
the process of transforming the different sets of data into one coordinate system


http://en.wikipedia.org/wiki/Simultaneous_localization_and_mapping
the process of creating geometrically accurate maps of the environment
to build up a map within an unknown environment while at the same time keeping track of their current position

R.C. Smith and P. Cheeseman (1986)

Hugh F. Durrant-Whyte (early 1990s)

Sebastian Thrun

mobile robotics
autonomous vehicle

한국로봇산업협  http://www.korearobot.or.kr/




posted by maetel
2008. 4. 23. 13:50 Context

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posted by maetel
2006. 4. 21. 23:07 Footmarks
한국 HCI 연구회 4월 세미나
퍼소나 (Persona)

발표자: PXD 이재용 사장


2006-04-21쇠 7:30pm @SK 커뮤니케이션즈 4층 대접견실

PXD
Product Design
Digital Device UI
Web IA & UI
User Research


Persuassive Technology
by B. J. Frogg, Stanford professor

Theory of Constraint TOC
by Goldbratt


Persona ⊂ Profiling : Modeling

Alan Cooper, "The Inmates Are Running The Asylum" - Adaptive Path Newsletter


> Cooper의 Goal Directed Design 방법 중 모델링 기법
user goals, attitudes, behaviors distilled from observing real people


> UI - Logic

1) Portalization
2) Personalization 개인화
3) Personalization 퍼소나

- To consolidate data without loosing the details
- To focus on the most important needs of the most important cusomers
* Single data point doesn't mean much but patterns do.


> Unchanging reference point to guide design
Avoid
    - Self-referneced design
    - 'elastic user'
    - edge cases

* The range is mmore useful than the average.
(Real people are too idiosyncretic.)

Segments
: 유사한 marketing message에 응답하는 customer

Persona
: 유사한 목표와 사용자 pattern을 지닌 user group


"Two Moments of Truth" - P & G, A. Lafley

Heuristic Inspect

www.cooper.com

search keyword: cooper + persona

<정신병원에서 뛰쳐나온 디자인>, 안그라픽스


A good persona description captures: Goals, Attitudes, Work or Activity Flow, Environment, Skill Level, Frustration

1. Segment based on a few essential behaviors (가정)
2. Prioritize the key personas (조사)
3. Make them human (적용)
4. Leave out extraneous details (사람화)
5. Make-up details (다듬기)


1. Revisit critical characteristics (eg. 빚에 대한 태도가 어떠한가?)
2. Identify major patterns
3. Rough out description & goals
4. Check for completeness
5. Check for redundancy
6. Expand & Refine details
7. Develop narrative
8. Designate type (primary, secondary, ...)

"User personas => 주고객층을 선정"

Forrester Research - Checklist

좋은 UI를 만들려면 제품 밖에서의 지원 또한 고려해야 한다.
Adaptive Path
Razorfish

cf. Contextual Design
- Contextual Inquiry
    - flower/physical/circumstance model
    - affinity diary(?)
단점: 수치적 성과 검증 어렵다



ref.
- 정신병원에서 뛰쳐나온 디자인
- The Inmates are running the Asylum (Why high-tech products drive us crazy and
how to restore the sanity) by Alan Cooper
- About Face 2.0 (The Essentials of Interaction Design) by Alan Cooper


link.
http://www.cooper.com

http://www.google.com/search?&q=cooper+persona
==> 이 이상의 참고 자료가 없다고 생각합니다. 혹시 이 리스트를 끝까지 다 봤는데
참고자료가 더 필요하다고 생각하시는 분은 제게 개인적으로 연락 주세요.
(참고로 저는 이 리스트를 아직 다 못 봤습니다)

http://www.deyalexander.com.au/resources//uxd/personas.html
-> 퍼소나 말고도 다
른 항목들도 많이 정리되어 있습니다.


posted by maetel