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In recent years, the number of range scanners and surface reconstruction algorithms has been growing rapidly. Many researchers, however, do not have access to scanning facilities or dense polygonal models. The purpose of this repository is to make some range data and detailed reconstructions available to the public. Here's how the models in this repository were created:Scanning and surface reconstructionThe first set of models below, called "The Stanford Models", were scanned with aCyberware3030 MS scanner, with the exception of Lucy, who was scanned with theStanford Large Statue Scanner, designed for theDigital Michelangelo Project. Both scanners are swept-stripe, laser triangulation range scanners. The triangulation calculations all the Stanford models except the Happy Buddha and Dragon were performed in hardware by the Cyberware scanner(s). These last two models were acquired using Brian Curless'sspacetime analysis. Each scan takes the form of a range image, described in the local coordinate system of the scanner. To merge these range images, we must first align them together. For all the Stanford models, alignment was done using a modified ICP algorithm, as described inthis paper. These alignments are stored in ".conf" files, which list each range image in the model along with a translation and a quaternion rotation. Finally, the aligned range images are combined to produce a single triangle mesh (a process sometimes called surface reconstruction) using eitherzipperingorvolumetric merging, two methods developed at Stanford. The entry for each model indicates which method was used. Implementations of both methods are currently available for download, respectively, atZipPackandVripPack. The second method is the surface reconstruction method invoked by theScanalyzesoftware package used in theDigital Michelangelo Project. Another software package that might be of interest isVolfill, our diffusion-based hole filler for large polygon meshes.