Generalized Mosaicing: Multispectral Mosaicing
Project Page: http://www.cs.columbia.edu/CAVE/proje...
Traditional image mosaicing uses a sequence of images of a scene captured by a moving camera. Generalized mosaicing is a simple and effective method for extracting additional information at each scene point. The key observation is that as a camera moves, it senses each scene point multiple times. We rigidly attach to the camera (either in front or behind the imaging lens) an optical filter with spatially varying properties. When this imaging system moves, each scene point is measured multiple times but under different optical settings. Fusing the data captured in the multiple images yields an image mosaic that includes additional information about the scene. This information can come in the form of extended dynamic range, high spectral quality, polarization, focus/distance sensing or enhancements to other dimensions of imaging.
This video shows the raw 8-bit image sequence captured using the linear interference filter and a black and white camera.