<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hagen Spies</style></author><author><style face="normal" font="default" size="100%">Bernd Jähne</style></author><author><style face="normal" font="default" size="100%">John L. Barron</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Surface expansion from range data sequences</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 23th DAGM Symposium on Pattern Recognition</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2001</style></year></dates><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pages><style face="normal" font="default" size="100%">163--169</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We compute the range flow field, i.e. the 3D velocity field, of a moving deformable surface from a sequence of range data. This is done in a differential framework for which we derive a new constraint equation that can be evaluated directly on the sensor data grid. It is shown how 3D structure and intensity information can be used together in the estimation process. We then introduce a method to compute surface expansion rates from the now available velocity field. The accuracy of the proposed scheme is assessed on a synthetic data set. Finally we apply the algorithm to study 3D leaf motion and growth on a real range sequence.</style></abstract><custom3><style face="normal" font="default" size="100%">LNCS 2191</style></custom3></record></records></xml>