View interpolation for image synthesis
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Plenoptic modeling: an image-based rendering system
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Rendering with concentric mosaics
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Unstructured lumigraph rendering
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Photorealistic Scene Reconstruction by Voxel Coloring
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A Theory of Shape by Space Carving
A Theory of Shape by Space Carving
A self-reconfigurable camera array
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
Optimised grab method of images for the manipulation of virtual objects
International Journal of Networking and Virtual Organisations
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In this paper, we develop a system for active image-based rendering (IBR). Active IBR is a framework that is capable of estimating the final rendering quality and capturing the next view at the position where the rendering quality can be improved the most. The result is a non-uniform capturing scheme for IBR. Experimental results on synthetic scenes have shown that active IBR outperforms uniformly captured IBR. In this paper, we set up an active IBR system that can capture real objects with off-the-shelf components. We show that our system can capture objects more intelligently than uniform capturing.