@MASTERSTHESIS\{IMM2006-04731, author = "Y. Yin", title = "{3D} Mankin Face Modelling and Super-resolution from Range Images", year = "2006", keywords = "{3D} modelling, super-resolution, {ICP,} SwissRanger, 2.{5D} {MRF}", school = "Informatics and Mathematical Modelling, Technical University of Denmark, {DTU}", address = "Richard Petersens Plads, Building 321, {DK-}2800 Kgs. Lyngby", type = "", note = "Supervised by Assoc. Prof. Rasmus Larsen, {IMM}.", url = "http://www2.compute.dtu.dk/pubdb/pubs/4731-full.html", abstract = "In this thesis, a trial of modelling a manikin face using SwissRanger {SR-}3000 is implemented. The process includes acquiring data, range data restoration, registration and surface reconstruction. Several tests are done to evaluate the camera’s performance. Then, the noisy and low-resolution range images are restored by {MRF} by designing intensity information into the prior so that the restored range measurements obtain the high contrast property of the intensity information. The range images are registered by {ICP} algorithm. To improve the performance of {ICP} according to the data, several variants are introduced. A new surface reconstruction and super-resolution algorithm called 2.{5D} {MRF} is originated to combine multiple registered surfaces. This high dimensional {MRF} merges surfaces by trying to move locally smooth patches together and keep the original values for details. The algorithm is proved to be robust to noise and registration errors. Finally, a face model combined by 15 registered views via simple averaging and super-resolution of the face combined by 3 views via 2.{5D} {MRF} are displayed as the result." }