A simple method for computing general position in displaying three-dimensional objects
Computer Vision, Graphics, and Image Processing
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Viewpoint Selection using Viewpoint Entropy
VMV '01 Proceedings of the Vision Modeling and Visualization Conference 2001
Estimating the tensor of curvature of a surface from a polyhedral approximation
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ACM SIGGRAPH 2005 Papers
Importance-Driven Focus of Attention
IEEE Transactions on Visualization and Computer Graphics
Dynamic View Selection for Time-Varying Volumes
IEEE Transactions on Visualization and Computer Graphics
A unified information-theoretic framework for viewpoint selection and mesh saliency
ACM Transactions on Applied Perception (TAP)
Saliency for animated meshes with material properties
Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization
Perceptual models of viewpoint preference
ACM Transactions on Graphics (TOG)
Techniques for computing viewpoint entropy of a 3d scene
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part II
Schelling points on 3D surface meshes
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Viewpoint quality: measures and applications
Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Viewpoint selection for intervention planning
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
VEA 2012: Automatic path generation for terrain navigation
Computers and Graphics
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Finding good representational images for 3D object exploration is a highly subjective problem in the cognitive field. The "best" or "good" definitions do not depend on any metric. We have explained the VKL distance concept and introduced a novel view descriptor called vSKL distance for finding "good" representational images. The image generation is done by projecting the surfaces of 3D objects onto the screen or any planar surface. The projection process depends on parameters such as camera position, camera vector, up vector, and clipping plane positions. In this work we present a technique to find such camera positions that the 3D object is projected in "good" or "best" way where those subjective definitions are mapped to Information Theoretical distances. We compared greedy view selection integrated vSKL with two well known techniques: VKL and VMI. vSKL performs very close to the other two, hence face coverage perturbation is minimal, but it is 3 to 4 times faster. Furthermore, the saliency information is conveyed to users with generated images.