The input-interface of Webcam applied in 3D virtual reality systems

Computers and Education

Volumn 53, Issue 4, 2009, Pages 1231-1240

  Sun, Huey Min ^a   Cheng, Wen Lin ^a  

^a CHANG JUNG CHRISTIAN UNIVERSITY   (Taiwan)

Author keywords

Frame difference; Motion vector; Virtools Dev; Virtual reality

Indexed keywords

3D VIRTUAL REALITY; A-FRAMES; BUILDING BLOCKES; COMPOSITE SYSTEMS; CONTROL DIRECTIONS; COURSE CONTENTS; DATA-BASE MANAGEMENT SYSTEMS; DIGITAL CONTENTS; EMPIRICAL STUDIES; FRAME DIFFERENCE; METHOD OF FRAMES; MICRO-SOFT VISUAL C++; MOTION VECTOR; MOVING OBJECTS; MYSQL DATABASE; PERCEIVED EASE OF USE; PERCEIVED PLAYFULNESS; TECHNOLOGY ACCEPTANCE MODEL; VIRTOOLS; VIRTOOLS DEV; VIRTUAL SCENES; WEB CAMERA;

COMPUTER MONITORS; CURRICULA; DATABASE SYSTEMS; MANAGEMENT; MANAGEMENT INFORMATION SYSTEMS; MOLDS; MULTITASKING; PHOTOGRAPHY; THREE DIMENSIONAL; TRACKING (POSITION);

VIRTUAL REALITY;

EID: 69949105950     PISSN: 03601315     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compedu.2009.06.006     Document Type: Article

References (24)

1. Aach T., Kaup A., and Mester R. Statistical model-based change detection in moving objects in video. Signal Processing 31 (1993) 165-180
2. Alpert, Th., Evain, J.-P. 1997. Subjective quality evaluation - The SSCQE and DSCQE methodologies, ITU-R Recommendation BT.500-7, no. 271, Spring (pp. 12-20).
3. Bell J.T., and Fogler H.S. Vicher: A prototype virtual reality based educational module for chemical reaction engineering. Computer Applications in Engineering Education 4 4 (1996) 285-296
4. Chien S.-Y., Ma S.-Y., and Chen L.-G. Efficient moving object segmentation algorithm using background registration technique. IEEE Transactions on Circuits and Systems for Video Technology 12 7 (2002) 577-586
5. Chittaro L., and Ranon R. Web3D technologies in learning, education and training: Motivations, issues, opportunities. Computers and Education 49 1 (2007) 3-18
6. Chunga J., and Tan F.B. Antecedents of perceived playfulness: an exploratory study on user acceptance of general information-searching websites. Information and Management 41 7 (2004) 869-881
7. Cristani, M., Bicego, M., Murino, V. ( 2002). Integrated region- and pixel-based approach to background modeling. In Proceedings workshop on motion and video computing, 5-6 December (pp. 3- 8).
8. Davis F.D. Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly 13 3 (1989) 319-340
9. Farin, D., de With, P. H. N., Effelsberg, W. A. (2004). Video-object segmentation using multi-sprite background subtraction. In 2004 IEEE international conference on multimedia and expo, ICME '04, (Vol. 1. (27-30), 343-346).
10. Ferrington G., and Loge K. Virtual reality: a new learning environment. The Computing Teacher 19 7 (1992) 16-19
11. Hair J., Anderson R., Tatham R., and Black W. Multivariate data analysis. 5th ed. (1998), Upper Saddle River, Prentice Hall
12. Hasan B., and Ahmed M.U. Effects of interface style on user perceptions and behavioral intention to use computer systems. Computers in Human Behavior 23 (2007) 3025-3037
13. Jain J., and Jain A. Displacement measurement and its application in interframe image coding. IEEE Transactions on Communications 29 12 (1981) 1799-1808
14. Kim, J. H., Park, S. T., Lee, H., Yuk, K. C., & Lee, H. (2001). Virtual reality simulations in physics education.Interactive Multimedia Electronic Journal of Computer-Enhanced Learning. .
15. Liou. A new threestep search algorithm for block estimation. IEEE Transactions on Circuits Systems and Video Technology 4 (1994) 438-442
16. Mech R., and Wollborn M. A noise robust method for 2D shape estimation of moving objects in video sequences considering a moving camera. Signal Processing 66 Apr (1998) 203-217
17. Neri A., Colonnese S., Russo G., and Talone P. Automatic moving object and background separation. Signal Processing 66 Apr (1998) 219-232
18. Ong S.K., and Mannan M.A. Virtual reality simulations and animations in a web-based interactive manufacturing engineering module. Computers and Education 43 (2004) 361-382
19. Po L.M., and Ma W.C. A novel four-step search algorithm for fast block estimation. IEEE Transactions on Circuits and Systems for Video Technology 6 (1996) 313-317
20. Stauder J., Mech R., and Ostermann J. Detection of moving cast shadows for object segmentation. IEEE Transactions on Multimedia 1 Mar (1999) 65-76
21. Stiller, T. (1990). Motion-estimation for coding moving video at 8 kbit/swith Gibbsmodeled vector field smoothing. In Proceedings of SPIE visual communication and image processing (pp. 468-476).
22. Trindade, J., Fiolhais, C., Gil, V. (1999). Virtual water, an application of virtual environments as an education tool for physics and chemistry. In Proceedings of ICCE 99: international conference on computers in education (Vol. 2, pp. 655-658).
23. Virtools Dev 3.0 Online Reference 1999-2003 Virtools SA.
24. Zhu S., and Ma K.-K. A new diamond-search algorithm for fast blockmatching motion estimation. IEEE Transactions on Image Processing 9 2 (1999) 287-290