@PHDTHESIS{1168Kim2008,
	AUTHOR = {Jang Heon Kim},
	TITLE = {The Robust 3-D Sceneflow},
	SCHOOL = {Technische Universit{\"a}t Berlin},
	YEAR = {2008},
	MONTH = sep,
	PDF = {http://elvera.nue.tu-berlin.de/files/1168Kim2008.pdf},
	ABSTRACT = {Recovering 3-D information from several 2-D images is one of the most important topics in computer vision. Multi-stereo and Structure-from-Motion methods aim to recover the 3-D camera pose and scene structure for a rigid scene from an uncalibrated sequence of 2-D images. The 3-D camera pose can be estimated as the principle projection ray for a camera observing a rigid scene. The estimation of dense scene geometry is a process to recover the metric geometry and to adjust the global ray projection passing through each 2-D image point to a 3-D scene point on real object surfaces. The generalization of 3-D video analysis depends on the density and robustness of the scene geometry estimation. In this dissertation, the 3-D sceneflow method that analyzes jointly stereo and motion is proposed for retrieving the camera geometry and recontructing dense scene geometry accurately.}
}