The NURBS book
Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Multi-projector displays using camera-based registration
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
LAM: luminance attenuation map for photometric uniformity in projection based displays
VRST '02 Proceedings of the ACM symposium on Virtual reality software and technology
A Survey of Multi-Projector Tiled Display Wall Construction
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Geometric calibration for multi-projector tiled display based on vanishing point theory
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
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In this paper, we firstly propose a partial-sampling scheme to measure the intensity transfer function of a projector. Secondly, we implement the computation of luminance surface by rendering a texture rectangle on GPU. Thirdly, we generate an unified index data for all projectors. And then we compute the masks of photometric correction using a GPU based on topological consistency. Finally we integrate the masks with a GPU-based photometric correction pipeline to achieve the photometric uniformity for multi-projector display. The GPU-based framework is a combination of the GPU-based computation and the GPU-based photometric correction pipeline, which removes the bottleneck of the computation of luminance surface, attenuation mask and black offset mask. It is shown by experimental results prove that the GPU-based framework is effective and efficient.