Ahmet Akyuz | Middle East Technical University (original) (raw)
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Papers by Ahmet Akyuz
Proceedings of the 1st Symposium on Applied perception in graphics and visualization - APGV '04, 2004
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
ABSTRACT The real world encompasses a high range of luminances. In order to capture and represent... more ABSTRACT The real world encompasses a high range of luminances. In order to capture and represent this range correctly, High Dynamic Range (HDR) imaging techniques are introduced. Some of these techniques are based on constructing an HDR image from several Low Dynamic Range (LDR) images with different exposures. In the capture and reconstruction phases, the HDR reproduction techniques must resolve the differences between the input LDR images due to camera and object movement. In this study, two recent approaches addressing this issue are compared using a novel dataset comprised of image sequences with varying complexity. The results are evaluated by using both objective and subjective measures.
SIGGRAPH Asia 2011 Posters on - SA '11, 2011
The camera response function determines the relationship between the incident light on the camera... more The camera response function determines the relationship between the incident light on the camera sensor and the output pixel values that are produced. For most consumer cameras, this function is proprietary and needs to be estimated to create HDR images that accurately represent the light distribution of the captured scene. Several methods have been proposed in the literature to estimate
2006 International Conference on Image Processing, 2006
Journal of Visual Communication and Image Representation, 2007
Journal of Electronic Imaging, 2006
ACM Transactions on Applied Perception, 2008
ACM Transactions on Graphics, 2007
Augmented reality involves mixing captured video with rendered elements in real-time. For augment... more Augmented reality involves mixing captured video with rendered elements in real-time. For augmented reality to be effective in training and simulation applications, the computer generated c omponents need to blend in well with the captured video. Straightforward compositing is not sufficient, since the chromatic content of video and rendered data may be very different such that it is immediately obvious
Proceedings of the 1st Symposium on Applied perception in graphics and visualization - APGV '04, 2004
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
ABSTRACT The real world encompasses a high range of luminances. In order to capture and represent... more ABSTRACT The real world encompasses a high range of luminances. In order to capture and represent this range correctly, High Dynamic Range (HDR) imaging techniques are introduced. Some of these techniques are based on constructing an HDR image from several Low Dynamic Range (LDR) images with different exposures. In the capture and reconstruction phases, the HDR reproduction techniques must resolve the differences between the input LDR images due to camera and object movement. In this study, two recent approaches addressing this issue are compared using a novel dataset comprised of image sequences with varying complexity. The results are evaluated by using both objective and subjective measures.
SIGGRAPH Asia 2011 Posters on - SA '11, 2011
The camera response function determines the relationship between the incident light on the camera... more The camera response function determines the relationship between the incident light on the camera sensor and the output pixel values that are produced. For most consumer cameras, this function is proprietary and needs to be estimated to create HDR images that accurately represent the light distribution of the captured scene. Several methods have been proposed in the literature to estimate
2006 International Conference on Image Processing, 2006
Journal of Visual Communication and Image Representation, 2007
Journal of Electronic Imaging, 2006
ACM Transactions on Applied Perception, 2008
ACM Transactions on Graphics, 2007
Augmented reality involves mixing captured video with rendered elements in real-time. For augment... more Augmented reality involves mixing captured video with rendered elements in real-time. For augmented reality to be effective in training and simulation applications, the computer generated c omponents need to blend in well with the captured video. Straightforward compositing is not sufficient, since the chromatic content of video and rendered data may be very different such that it is immediately obvious