[image 01139] Call for Papers: 2015 IEEE International Workshop on Computational Cameras and Displays (CCD)

[長原 一]

九州大学の長原です．
[重複して受け取られた方はご容赦ください]

6月12日に開催されますCVPR2015のワークショップ
2015 IEEE International Workshop on Computational Cameras and Displays
の案内を転送致します．このワークショップは，一昨年からPROCMSと統合され
コンピュテーショナルフォトグラフィおよびプロジェクタ・カメラシステムのテーマを扱っております．

論文〆切は4月1日となっておりますので，ご興味のある方は投稿および参加をご検討ください．
よろしくお願い致します．


> ---------------------------------------------------------------------------------------------------
> 
> Call for Papers - Workshop on Computational Cameras and Displays
> 
> To be held in conjunction with CVPR 2015 in Boston, Mass
> 
> June 12, 2015
> 
> http://ollie-imac.cs.northwestern.edu/~ollie/CCD2015/
> 
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> 
> Computational cameras and displays exploit the co-design of optical elements and computational processing to push the boundaries of conventional light acquisition and display systems. Submissions on all aspects of computational cameras and displays, especially exploring their duality, are encouraged:
> 
> Duality of Cameras and Displays: Apply concepts and innovations developed for cameras to displays or the other way around, such as compressive displays or extended depth of field projection.
> 
> Bidirectional Displays: Explore imaging systems that combine light acquisition and display. Examples include projector-camera systems, light-sensitive displays, and unconventional camera flashlights.
> 
> Theoretical Analysis of Computational Cameras and Displays: Establishing fundamental limits of different aspects of computational cameras and displays. New approaches to data processing, for instance using machine learning or compressive sensing.
> 
> Exotic Camera and Display Technologies: Design of unconventional optics, sensors, light-emitters, or computational processing for imaging systems. Examples include systems inspired by biological visual systems, omni-vision displays, and single pixel cameras.
> 
> Perceptual Aspects of Computational Displays: Computational models for human perception, perceptually-driven computational displays, and all aspects of the human visual system relevant to computational displays.
> 
> Multi-modal Imaging: As high resolution imaging is becoming commonplace, imaging architectures and processing algorithms for multi-modal and high dimensional imaging such as hyper-spectral, light-field, light-transport, imaging in SWIR, MWIR and other non-visible parts of spectrum including mm-wave and Terahertz.
> 
> Natural Image Statistics for Computational Cameras: Mathematical priors that are exploited in the design of computational cameras, high-dimensional priors for natural scenes including the color spectrum, spatial, temporal, and directional light variation.
> 
> Modern Signal Processing Algorithms: Recent advances in signal processing especially ideas of sparse representations and compressive sensing have resulted in the use of optimization and machine learning algorithms for imaging systems.
> 
> Projector-Camera Systems: Imaging systems that combine programmable illumination with computational cameras to measure novel aspects of visual appearance. Possible examples include light transport acquisition and transient imaging.
> 
> Human Computer Interaction Systems: Always on HCI systems composed of vision based sensors and displays such as applications of Google Glass, Kinect, Leap Motion sensor etc.
> 
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> 
> Important Dates:
> Paper Submission Deadline: April 1, 2015
> Paper Reviews Due: April 14, 2015
> Paper Acceptance Notification: April 16, 2015
> Camera Ready Date: April 22, 2015
> Workshop Date: June 12, 2015
> 

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Hajime NAGAHARA
Faculty of Information Science and Electrical Engineering, 
Kyushu University
Addr:  744, Motooka, Nishiku, Fukuoka, 819-0395, JAPAN
Tel:     +81- 92-802-3595
Fax:     +81-92-802-3579
E-mail: nagahara ＠ ait.kyushu-u.ac.jp
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