Interactive 3D architectural modeling from unordered photo collections
ACM SIGGRAPH Asia 2008 papers
What Do the Sun and the Sky Tell Us About the Camera?
International Journal of Computer Vision
Joint radiometric calibration and feature tracking system with an application to stereo
Computer Vision and Image Understanding
Iterative colour correction of multicamera systems using corresponding feature points
Journal of Visual Communication and Image Representation
Ghost-free high dynamic range imaging
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Color correction using 3d gaussian mixture models
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
Nonuniform lattice regression for modeling the camera imaging pipeline
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
A theoretical analysis of camera response functions in image deblurring
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
How bright is the moon? recovering and using absolute luminance values from internet images
CCIW'13 Proceedings of the 4th international conference on Computational Color Imaging
Geometric and colorimetric error compensation for multi-view images
Journal of Visual Communication and Image Representation
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In many computer vision systems, it is assumed that the image brightness of a point directly reflects the scene radiance of the point. However, the assumption does not hold inmost cases due to nonlinear camera response function, exposure changes, and vignetting. The effects of these factors are most visible in image mosaics and textures of 3D models where colors look inconsistent and notable boundaries exist. In this paper, we propose a full radiometric calibration algorithm that includes robust estimation of the radiometric response function,exposures, and vignetting. By decoupling the effect of vignetting from the response function estimation, we approach each process in a manner that is robust to noise and outliers. We verify our algorithm with both synthetic and real data which shows significant improvement compared to existing methods. We apply our estimation results to radiometrically align images for seamless mosaics and 3D model textures. We also use our method to create high dynamic range (HDR) mosaics which are more representative of the scene than normal mosaics.