MAP Visibility Estimation for Large-Scale Dynamic 3D Reconstruction
Interesting development for 3D video: a team at Carnegie Mellon University have developed a method of video photogrammetry to capture 3D motion, using a spherical array of video cameras at various angles within a space entitled ‘The Panoptic Studio’ - video embedded below:
Many traditional challenges in reconstructing 3D motion, such as matching across wide baselines and handling occlusion, reduce in significance as the number of unique viewpoints increases. However, to obtain this benefit, a new challenge arises: estimating precisely which cameras observe which points at each instant in time. We present a maximum a posteriori (MAP) estimate of the time-varying visibility of the target points to reconstruct the 3D motion of an event from a large number of cameras. Our algorithm takes, as input, camera poses and image sequences, and outputs the time-varying set of the cameras in which a target patch is visible and its reconstructed trajectory. We model visibility estimation as a MAP estimate by incorporating various cues including photometric consistency, motion consistency, and geometric consistency, in conjunction with a prior that rewards consistent visibilities in proximal cameras. An optimal estimate of visibility is obtained by finding the minimum cut of a capacitated graph over cameras. We demonstrate that our method estimates visibility with greater accuracy, and increases tracking performance producing longer trajectories, at more locations, and at higher accuracies than methods that ignore visibility or use photometric consistency alone.
Travel in South America (Brazil, Eastern Republic of Uruguay, Argentina, Patagonia, the Republic of Chile, the Republic of Bolivia, the Republic of Peru), performed during the years 1826, 1827, 1828, 1829, 1830, 1831, 1832 and 1833 on Flickr.
By Orbigny, Alcide Dessalines d ‘, 1802-1857
Publication info Paris: Pitois-Levrault 0.1835 to 47.
Book of the Week Collection
Ernst Mayr Library of the MCZ, Harvard University
The Mexican team “CASA” from the National University of Mexico (School of Engineering + School of Architecture) wins the Solar Decathlon Europe 2014 with their “toolbox” project.
MIT’s Tangible Media is coming along nicely,
"Almost like a table of living clay, the inFORM is a surface that three-dimensionally changes shape, allowing users to not only interact with digital content in meatspace, but even hold hands with a person hundreds of miles away. And that’s only the beginning."
handjobs of the future
Narrow-footed Worm salamander, Honduras.
Oedipina petiola is a species of worm salamander (Caudata, Plethodontidae), newly described in 2011 from the central portion of the Cordillera Nombre de Dios, Honduras.
Plethodontid worm salamanders of the genus Oedipina are among the most challenging neotropical salamanders to study, due to their secretive fossorial habits and the resulting infrequency with which they are encountered.
"When we know how materials melt, shatter and bend, we can make machines that don’t."