Workshop on Light Fields for Computer Vision

Call for Papers

The 1st Workshop on Light Fields for Computer Vision (LF4CV) in conjunction with ECCV 2014.

September 7, 2014, Zurich, Switzerland

Overview

With the availability of commodity light field cameras such as Lytro, Raytrix, and Pelican mobile light field cameras, it has become increasingly common to acquire a light field in place of a single image of the scene. While the original goal of acquiring a light field is to conduct image-based modeling and rendering (e.g., to produce after-capture refocusing), recent studies have shown that light fields can be extremely useful in various applications in computer vision and robotics, including stereo matching and 3D reconstruction, stereoscopy synthesis, saliency detection, new non-perspective camera designs, surveillance, recognition, etc. There has been also useful and interesting research in several geometrical aspects of light field cameras such as calibration.

We are soliciting original contributions use light field acquisition devices and post-processing algorithms for resolving traditionally challenging computer vision problems. Specific questions we would like to address include, but are not limited, to:

Light field rendering
- New rendering schemes to overcome the spatial/angular undersampling problems
- Novel light field visualization techniques

Light field based modeling and scene reconstruction
- Techniques that combine lumigraph and light field.
- Light field camera calibration and structure from motion
- Dense 3D reconstruction methods tailored to light field data
- Light-field based non-Lambertian reflectance models and correspondence
- Light field based motion analysis and scene flow

Light field sensors
- New LF sensors
- Enhancing LF resolution from the sensor's perspective
- Light-field inspired modeling of non-central cameras

Descriptors for light field images
- Light field statistics models
- Light field Saliency
- Light field detection and recognition algorithms

Light field data sets and benchmarks

The best workshop paper will be invited to submitted extended versions to appear in a Computer Vision and Image Understanding (CVIU) special issue.


Program Co-Charis:

  • Jingyi Yu, University of Delaware
  • Bastian Goldluecke, University of Konstanz, Germany
  • Rick Szeliski, Microsoft Research
  • Important Dates:
    Paper submission deadline: June 24, 2014
    Notification of Acceptance: July 15, 2014
    Camera-ready deadline: July 22, 2014