A Comparative Study of Rotational and Stereoscopic Computer Graphic Depth Cues

Sollenberger, Randy L.; Milgram, Paul

doi:10.1177/154193129103502007

Cited by 20 publications

(14 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kinetic depth is produced by having the node-link structure rotate while being viewed. Studies have shown that these methods do indeed allow for larger graphs to be perceived and that kinetic depth is more important than stereoscopic depth [Sollenberger and Milgram 1993;Ware and Franck 1996]. When both stereo depth and kinetic depth cues are provided it may be possible to see a structure approximately three times as large [Ware and Franck 1996].…”

Section: Introductionmentioning

confidence: 98%

Motion to support rapid interactive queries on node--link diagrams

Ware

Bobrow²

2004

ACM Trans. Appl. Percept.

View full text Add to dashboard Cite

Many different problems can be represented as graphs displayed in the form of node-link diagrams. However, when a graph is large it becomes visually uninterpretable because of the tangle of links. We describe a set of techniques that use motion in an interactive interface to provide effective access to larger graphs. Touching a node with the mouse cursor causes that node and the subgraph of closely connected nodes to oscillate. We argue from perceptual principles that this should be a more effective way of interactively highlighting a subgraph than more conventional static methods. The MEGraph system was developed to gain experience with different forms of motion highlighting. Based on positive feedback, three experiments were carried out to evaluate the effectiveness of motion highlighting for specific tasks. All three showed motion to be more effective than static highlighting, both in increasing the speed of response for a variety of visual queries, and in reducing errors. We argue that motion highlighting can be a valuable technique in applications that require users to understand large graphs.

show abstract

Section: Introductionmentioning

confidence: 98%

Motion to support rapid interactive queries on node--link diagrams

Ware

Bobrow²

2004

ACM Trans. Appl. Percept.

View full text Add to dashboard Cite

show abstract

“…Sollenberger and Milgram showed that both scene rotation and stereopsis helped reduce errors in a path tracing task [17,18]. In their motion conditions the stimulus pattern rocked back and forth about a vertical axis (the perspective imagery was not coupled to head position).…”

Section: Empirical Evidencementioning

confidence: 99%

“…We chose path tracing in a graph as the task, because a graph is a very general data structure used to reprensent an information network. We chose error rates as the dependent variable because the previous studies decribed above [1,17] have shown this to be highly sensitive to the mode of viewing. In addition, the ability to trace information paths accurately is fundamental to understanding information networks.…”

Section: Experiments 1a: How Much Better Is a 3d/stereo Display For Pamentioning

confidence: 99%

Evaluating stereo and motion cues for visualizing information nets in three dimensions

1996

View full text Add to dashboard Cite

This paper concerns the benefits of presenting abstract data in 3D. Two experiments show that motion cues combined with stereo viewing can substantially increase the size of the graph that can be perceived. The first experiment was designed to provide quantitative measurements of how much more (or less) can be understood in 3D than in 2D. The 3D display used was configured so that the image on the monitor was coupled to the user's actual eye positions (and it was updated in real-time as the user moved) as well as being in stereo. Thus the effect was like a local "virtual reality" display located in the vicinity of the computer monitor. The results from this study show that head-coupled stereo viewing can increase the size of an abstract graph that can be understood by a factor of three; using stereo alone provided an increase by a factor of 1.6 and head coupling alone produced an increase by a factor of 2.2. The second experiment examined a variety of motion cues provided by head coupled perspective (as in virtual reality displays), hand guided motion and automatic rotation respectively, both with and without stereo in each case,. The results show that structured 3D motion and stereo viewing both help in understanding, but that the kind of motion is not particularly important; all improve performance, and all are more significant than stereo cues. These results provide strong reasons for using advanced 3D graphics for interacting with a large variety of information structures.

show abstract

“…The centerline representation reduces the storage requirements, increases data accessibility, and can be used to improve the display and the visualization of a vascular tree. For example, the centerline can be overlayed with data from other modalities (Sollenberger and Milgram, 1991;Puig, Tost and Navazo, 1997).…”

Section: Introductionmentioning

confidence: 99%

Linear cost reconstruction of vascular trees from intensity volume angiograms

Hayward

2002

SPIE Proceedings

View full text Add to dashboard Cite

This paper introduces a two-phase algorithm to extract a center-adjusted, one-voxel-thick line representation of cerebral vascular trees from volume angiograms coded in gray-scale intensity. The first stage extracts and arranges the vessel system in the form of a directed graph whose nodes correspond to the cross sections of the vessels and whose node connectivity encodes their adjacency. The manual input reduces to the selection of two thresholds and the designation of a single initial point. In a second stage, each node is replaced by a centered voxel. The locations of the extracted centerlines are insensitive to noise and to the thresholds used. The overall computational cost is linear, of the order of the size of the input image. An example is provided which demonstrates the result of the algorithm applied to actual data. While being developed to reconstruct a line representation of a vessel network, the proposed algorithm can also be used to estimate quantitative features in any 2-D and/or 3-D intensity images. This technique is sufficiently fast to process large 3-D images at interactive rates using commodity computers.

show abstract

A Comparative Study of Rotational and Stereoscopic Computer Graphic Depth Cues

Cited by 20 publications

References 12 publications

Motion to support rapid interactive queries on node--link diagrams

Motion to support rapid interactive queries on node--link diagrams

Evaluating stereo and motion cues for visualizing information nets in three dimensions

Linear cost reconstruction of vascular trees from intensity volume angiograms

Contact Info

Product

Resources

About