AutoStitch works from unordered collections of images, automatically finding matches between images using the SIFT algorithm. It then robustly aligns all images and uses advanced blending algorithms to form seamless panoramas (see below). For more details, see our research papers. 25 of 57 images aligned All 57 images aligned Final Result Note: Mobile versions of AutoStitch are developed by Cloudburst Research. AutoStitch is available to license from the University of British Columbia. AutoStitch is now available in the following commercial products: Autopano Pro www.autopano.net (Windows, Mac, Linux) Serif PanoramaPlus www.serif.com (Windows) Calico www.kekus.com (Mac) The University of British Columbia has also granted a commercial license to Industrial Light & Magic (ILM) www.ilm.com, a Lucasfilm Ltd. company, to use AutoStitch software to produce panoramas for film production. The version of AutoStitch on this website is a demo only. Q: What projection method does AutoStitch use?
Motion Photography - Explore Photography (UK)Author: J.A.J Aaronson - Updated: 5 October 2010| Comment One of the conundrums that has faced photographers since the very inception of the medium has been attempting to work out how to effectively capture movement. The potential ways in which you could go about capturing motion are manifold; one need only look at a selection of well-known photographs for evidence of this. Long Exposure The capturing of motion depends in great part on effective use of shutter speed and aperture. Sharp Images It is not always necessary, however, to show the progress of movement in order to make it clear to the viewer that movement is occurring. As with so many other facets of photography, producing effective images of motion and movement is only ever the result of experimentation. You might also like... Title: (never shown) Notify:
PresentationLight Field Photography with a Hand-Held Plenoptic CameraLight Field Photography with a Hand-Held Plenoptic Camera Ren Ng, Stanford University Marc Levoy, Stanford University Mathieu Brdif, Stanford University Gene Duval, Duval Design Mark Horowitz, Stanford University Pat Hanrahan, Stanford University Stanford University Computer Science Tech Report CSTR 2005-02 April, 2005 Our prototype in use. Photographs digitally refocused at different depths, computed after a single exposure of our light field camera. Abstract This paper presents a camera that samples the 4D light field on its sensor in a single photographic exposure. To the photographer, the plenoptic camera operates exactly like an ordinary hand-held camera. Tech Report 150 dpi (1 MB) Video AVI (74.4 MB) Uses XVid codec.
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