The field of Computational Photography seeks to create new photographic functionalities and experiences that go beyond what is possible with traditional cameras and image processing tools. Submissions on the following topics are encouraged:
Computational Cameras:
The use of optical coding followed by
computational decoding to produce new or enhanced images and videos.
Examples include catadioptric, coded aperture, integral/plenoptic,
coded exposure, lensless, assorted pixel, compressive, holographic and
depth imaging. Novel computational image detectors that facilitate the
creation of new images are also included.
Multiple Images and Camera Arrays:
The use of multiple images captured
sequentially or simultaneously followed by processing to produce new
or enhanced images. Examples include mosaicing, creation of collages
and montages, refocusing, and light field rendering. Also included are
the use of multiple images to achieve high dynamic range, extended
depth of field, super-resolution, denoising, multispectral imaging and
polarization imaging.
Computational Illumination:
The use of programmable light sources to
capture images followed by processing to produce new or enhanced
images. Examples include structured light for depth/normal estimation,
image based relighting, flash/no-flash methods for image enhancements,
separation of reflection components, detection of material properties
and light transport measurement and manipulation.
Advanced Image and Video Processing:
The use of innovative
computational methods to break the fundamental limits of traditional
image processing and produce new or enhanced images. Examples include
the use of image priors for enhancement, image matting, image filling,
and view interpolation.
Scientific Photography and Videography:
The use of imaging systems to
gather quantitative information about physical systems and processes
as diverse as individual cells and galaxies. Examples include
application in microscopy, biomedical imaging, remote sensing and
astronomy.
Organizing and Exploiting Photo and Video Collections:
The development
of novel techniques for intelligent browsing as well as the use of
image collections to produce new or enhanced visual media. Examples
include hole filling, intelligent compositing, object
recognition/classification based image manipulation, and organizing
and navigating large image collections.
Advanced topics in optics:
The development of techniques for wavefront coding, light field sensing, compressive optical
sensing, digital holography, unusual form-factor cameras and optical superresolution.
Submission of full paper:
November 2, 2010 11:59 PM EST
Submission of supplementary materials: November 6, 2010 11:59 PM EST
Reviews due: December 15, 2010.
Notification of acceptance: January 5, 2011
Conference: April 8-9-10, 2011