CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
The perspective wall: detail and context smoothly integrated
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 9th annual ACM symposium on User interface software and technology
Path drawing for 3D walkthrough
Proceedings of the 11th annual ACM symposium on User interface software and technology
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Extending Distortion Viewing from 2D to 3D
IEEE Computer Graphics and Applications
Fisheyes are good for large steering tasks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 2005 symposium on Interactive 3D graphics and games
Mental Registration of 2D and 3D Visualizations (An Empirical Study)
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Using Deformations for Browsing Volumetric Data
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Projective slice for a dynamic steering task
Proceedings of the ACM symposium on Virtual reality software and technology
Smooth surface reconstruction via natural neighbour interpolation of distance functions
Computational Geometry: Theory and Applications
Interactive visualization for neck-dissection planning
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
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In the framework of data interpretation for petroleum exploration, this paper contributes two contributions for visual exploration aiming to manually segment surfaces embedded in volumetric data. Resulting from a user-centered design approach, the first contribution, dynamic picking, is a new method of viewing slices dedicated to surface tracking, i.e. fault-picking, from 3D large seismic data sets. The proposed method establishes a new paradigm of interaction breaking with the conventional 2D slices method usually used by geoscientists. Based on the 2D+time visualization method, dynamic picking facilitates localizing of faults by taking advantage of the intrinsic ability of the human visual system to detect dynamic changes in textured data. The second, projective slice, is a focus+context visualization technique that offers the advantage of facilitating the anticipation of upcoming slices over the sloping 3D surface. From the reported experimental results, dynamic picking leads to a good compromise between fitting precision and completeness of picking while the projective slice significantly reduces the amount of workload for an equivalent level of precision.