Object-Oriented Hierarchy Radiation Consistency for Different Temporal and Different Sensor Images

Sensors
Nan SuLiguo Wang

Abstract

In the paper, we propose a novel object-oriented hierarchy radiation consistency method for dense matching of different temporal and different sensor data in the 3D reconstruction. For different temporal images, our illumination consistency method is proposed to solve both the illumination uniformity for a single image and the relative illumination normalization for image pairs. Especially in the relative illumination normalization step, singular value equalization and linear relationship of the invariant pixels is combined used for the initial global illumination normalization and the object-oriented refined illumination normalization in detail, respectively. For different sensor images, we propose the union group sparse method, which is based on improving the original group sparse model. The different sensor images are set to a similar smoothness level by the same threshold of singular value from the union group matrix. Our method comprehensively considered the influence factors on the dense matching of the different temporal and different sensor stereoscopic image pairs to simultaneously improve the illumination consistency and the smoothness consistency. The radiation consistency experimental results verify the effectivenes...Continue Reading

References

Feb 3, 2007·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Allan Aasbjerg Nielsen
Mar 11, 2010·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Silvia MarchesiLorenzo Bruzzone
Dec 1, 2011·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Aram DanielyanKaren Egiazarian
Oct 11, 2012·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Weisheng DongXin Li
Apr 9, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Michael T McCannJelena Kovacevic
May 20, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Jian ZhangWen Gao

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