@conference {12716,
	title = {Contour-based 3D Face Modeling from a Monocular Video},
	booktitle = {Proceedings of the British Machine Vision Conference},
	year = {2004},
	month = {2004///},
	pages = {39.1-39.10 - 39.1-39.10},
	publisher = {British Machine Vision Association},
	organization = {British Machine Vision Association},
	abstract = {In this paper, we present a novel 3D face modeling approach from a monoc-ular video captured using a conventional camera. The proposed algorithm
relies on matching a generic 3D face model to the outer contours of the face
to be modeled and a few of its internal features. At the first stage of the
method, we estimate the head pose by comparing the edges extracted from
video frames, with the contours extracted from a generic face model. Next,
the generic face model is adapted to the actual 3D face by global and local
deformations. An affine model is used for global deformation. The 3D model
is locally deformed by computing the optimal perturbations of a sparse set of
control points using a stochastic search optimization method. The deforma-
tions are integrated over a set of poses in the video sequence, leading to an
accurate 3D model.
},
	isbn = {1-901725-25-1},
	doi = {10.5244/C.18.39},
	url = {http://www.bmva.org/bmvc/2004/papers/paper_136.html},
	author = {Gupta, H. and Roy Chowdhury, A.K. and Chellapa, Rama}
}
