In connection with the Int'l Symposium for 3D processing,Visualization
 and Transmission
 ( http://www.umiacs.umd.edu/conferences/3dpvt04/index.htm ) that covers
 topics of interest for researchers in both computer vision and computer
 graphics, we will organize a "3D Photography Challenge"
 ( http://www.umiacs.umd.edu/conferences/3dpvt04/challenge.htm ). 
 
 The reconstruction of 3D shape and motion from video is one of the basic
 problems that people in our field have worked on for a long time.
 Unfortunately, it has always been difficult to compare the results of
 different algorithms since there are no publicly available datasets
 consisting of multiple, calibrated image sequences that everyone has
 access to and could use as a benchmark data set. 
 
 Therefore,  we make available three challenging datasets, so that 
 everyone can apply their algorithms to these sequences and the 
 resulting reconstructions  can be compared against eachother. Each data 
 set consists of synchronized and calibrated image sequences taken from 33
 different view positions, using the Keck laboratory at UMD
 ( http://degas.umiacs.umd.edu/keck/spec.html ). 
 For more information  please see:
 http://www.umiacs.umd.edu/conferences/3dpvt04/challenge.htm .
 
 The submitted reconstructions and/or animations will be judged by a
 group of established members of our community who will award a prize to
 the best work. Details about the submission process and the judging
 criteria will be available on the website by mid-April. 
 
 With best regards, 
 Jan Neumann & Patrick Baker
 Computer Vision Lab, University of Maryland