Plenoptic modeling: an image-based rendering system
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Human factors for technical communicators
Human factors for technical communicators
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Viewpoint entropy: a new tool for obtaining good views of molecules
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
Viewpoint Selection using Viewpoint Entropy
VMV '01 Proceedings of the Vision Modeling and Visualization Conference 2001
Automatic Viewpoint Selection for a Visualization I/F in a PSE
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
Viewpoint-Based Ambient Occlusion
IEEE Computer Graphics and Applications
Information theory-based shot cut/fade detection and video summarization
IEEE Transactions on Circuits and Systems for Video Technology
Viewpoint quality: measures and applications
Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
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In this paper, we present three approaches to the best view selection for 3D objects, in order to find the proper combination. The first method is based on geometry and uses the maximum amount of visible vertices. The second method uses the visual attention model and the third one calculates the amount of information in a scene after projecting the 3D scene to the 2D image using entropy. Several 3D models from Blender are used in the experiment. We compare these different approaches and explore their suitability on various objects. An online questionnaire is made to find out which of the tested images fits better to the human tastes.