<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Schmidt, Martin</style></author><author><style face="normal" font="default" size="100%">Markus Jehle</style></author><author><style face="normal" font="default" size="100%">Bernd Jähne</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Range flow estimation based on photonic mixing device data</style></title><secondary-title><style face="normal" font="default" size="100%">Int. J. Intelligent Systems Technologies and Applications</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year></dates><volume><style face="normal" font="default" size="100%">5</style></volume><pages><style face="normal" font="default" size="100%">380--392</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We present techniques for computing 3D velocity fields from range data acquired with cameras working on the principles of modulation based Time-Of-Flight measurement. We derive a new variant of the range flow constraint equation that directly incorporates the transformation from sensor to world coordinate system. The presented techniques are applied to a number of range sequences with ground truth and the acquired motion estimation results are discussed.</style></abstract></record></records></xml>