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