CCD online system
Call for Papers
CCD / PROCAMS 2014 invites technical paper submissions on the topics listed below. A best paper award will be given to the top technical paper selected by the program committee. 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.
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.
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.
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.
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.
Submissions can be up to 8 pages in length (papers above 6 pages have to pay the fee charged by CVPR for extra pages) prepared in the CCD format. The submission and review process is double blind.
Include supplemental pictures and/or video if appropriate and possible. Videos should be in a common format, e.g., MPEG-1, MPEG-4, XviD, or DivX.
|Paper Submission deadline:||April 4, 2014 (23:59 PST)|
|Paper Reviews due:||April 21, 2014 |
|Paper Acceptance notification:|| April 28, 2014 |
|Camera Ready:|| |
|Workshop Date:||June 28, 2014|