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Jiandong Liang

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Publications by Jiandong Liang (bibliography)

1994

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Liang, Jiandong and Green, Mark (1994): JDCAD: A highly interactive 3D modeling system. In Computers & Graphics, 18 (4) pp. 499-506.

Cited in the following chapter:

» 3D User Interfaces: [/encyclopedia/3d_user_interfaces.html]

1992

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Shaw, Christopher D., Liang, Jiandong, Green, Mark and Sun, Yunqi (1992): The Decoupled Simulation Model for Virtual Reality Systems. In: Bauersfeld, Penny, Bennett, John and Lynch, Gene (eds.) Proceedings of the ACM CHI 92 Human Factors in Computing Systems Conference June 3-7, 1992, Monterey, California. pp. 321-328.

“The Virtual Reality user interface style allows the user to manipulate virtual objects in a 3D environment using 3D input devices. This style is best suited to application areas where traditional two dimensional styles fall short, but the current programming effort required to produce a VR application is somewhat large. We have built a toolkit called MR, which facilities the development of VR applications. The toolkit provides support for distributed computing, head-mounted displays, room geometry, performance monitoring, hand input devices, and sound feedback. In this paper, the architecture of the toolkit is outlined, the programmer's view is described, and two simple applications are described.”

1991

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Liang, Jiandong, Shaw, Christopher D. and Green, Mark (1991): On Temporal-Spatial Realism in the Virtual Reality Environment. In: Rhyne, James R. (ed.) Proceedings of the 4th annual ACM symposium on User interface software and technology Hilton Head, South Carolina, United States, 1991, Hilton Head, South Carolina, United States. pp. 19-25.

“The Polhemus Isotrak is often used as an orientation and position tracking device in virtual reality environments. When it is used to dynamically determine the user's viewpoint and line of sight (e.g. in the case of a head mounted display) the noise and delay in its measurement data causes temporal-spatial distortion, perceived by the user as jittering of images and lag between head movement and visual feedback. To tackle this problem, we first examined the major cause of the distortion, and found that the lag felt by the user is mainly due to the delay in orientation data, and the jittering of images is caused mostly by the noise in position data. Based on these observations, a predictive Kalman filter was designed to compensate for the delay in orientation data, and an anisotropic low pass filter was devised to reduce the noise in position data. The effectiveness and limitations of both approaches were then studied, and the results shown to be satisfactory.”

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