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  Fast, reliable head tracking under varying illumination: An approach based on robust registration of texture-mapped 3D models (2000) [14 citations — 0 self]

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by Marco La Cascia, Stan Sclaroff, Vassilis Athitsos
In IEEE Transactions on Pattern Analysis and Machine Intelligence
http://www.cs.bu.edu/techreports/pdf/1999-005-HeadTrack.pdf
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Abstract:

An improved technique for 3D head tracking under varying illumination conditions is proposed. The head is modeled as a texture mapped cylinder. Tracking is formulated as an image registration problem in the cylinder's texture map image. The resulting dynamic texture map provides a stabilized view of the face that can be used as input to many existing 2D techniques for face recognition, facial expressions analysis, lip reading, and eye tracking. To solve the registration problem in the presence of lighting variation and head motion, the residual error of registration is modeled as a linear combination of texture warping templates and orthogonal illumination templates. Fast and stable on-line tracking is achieved via regularized, weighted least squares minimization of the registration error. The regularization term tends to limit potential ambiguities that arise in the warping and illumination templates. It enables stable tracking over extended sequences. Tracking does not require a precise initial fit of the model; the system is initialized automatically using a simple 2D face detector. The only assumption is that the target is facing the camera in the first frame of the sequence. The formulation is tailored to take advantage of texture mapping hardware available in many workstations, PC's, and game consoles. The non-optimized implementation runs at about 15 frames per second on a SGI O2 graphic workstation. Extensive experiments evaluating the effectiveness of the formulation are reported. The sensitivity of the technique to illumination, regularization parameters, errors in the initial positioning and internal camera parameters are analyzed. Examples and applications of tracking are reported. 1 1

Citations

606 Neural networkbased face detection – Rowley, Baluja, et al. - 1998
604 Active Appearance Models – Cootes, Edwards, et al. - 1998
427 Probabilistic visual learning for object representation – Moghaddam, Pentland - 1997
409 P.W.: Feature extraction from faces using deformable templates – Yuille, Cohen, et al. - 1994
372 Closed-form solution of absolute orientation using orthonormal matrices – Horn, Hilden, et al. - 1988
337 EigenTracking: Robust matching and tracking of articulated objects using a view-based representation – Black, Jepson - 1998
256 Efficient region tracking with parametric models of geometry and illumination – Hager, Belhumeur - 1998
200 Tracking and recognizing rigid and non-rigid facial motions using local parametric models of image motion – Black, Yacoob - 1995
184 Coding analysis interpretation recognition of facial expressions – Essa, Pentland - 1997
162 Rank-deficient and discrete ill-posed problems – Hansen - 1998
154 Analysis and synthesis of facial image sequences using physical and anatomical models – �Terzopoulos, Waters - 1993
120 A mixed-state CONDENSATION tracker with automatic model-switching – Isard, Blake - 1998
116 3D motion estimation in model-based facial image coding – Li, Roivainen, et al. - 1993
109 Recognizing facial expressions in image sequences using local parameterized models of image motion – Yacoob - 1997
99 Motion regularization for model-based head tracking – Basu, Essa, et al. - 1996
99 Image analysis using multigrid relaxation methods – Terzopoulos - 1986
89 A low-dimensional representation of human faces for arbitrary lighting conditions – Hallinan - 1994
88 Multi-modal tracking of faces for video communications – Crowley, Berard - 1997
86 The integration of optical flow and deformable models with applications to human face shape and motion estimation – DeCarlo - 1996
80 Computing spatio-temporal representations of human faces – Yacoob, Davis - 1994
78 Visually controlled graphics – Azarbayejani, Starner, et al. - 1993
76 Active blobs – Sclaroff, Isidoro - 1998
73 Multiresolution Image Processing and Analysis – Rosenfeld - 1984
61 Geometry and photometry in 3d visual recognition – Shashua - 1992
61 Parametrized structure from motion for 3d adaptive feedback tracking of faces – Jebara, Pentland - 1997
55 reliable head tracking under varying illumination: An approach based on registration of texture-mapped 3D models – Fast
49 D.: Color-based tracking of heads and other mobile objects at video frame rates – Fieguth, Terzopoulos - 1997
47 Lafter: Lips and face real time tracker – Oliver, Pentland, et al. - 1997
46 A.: Parameterized structure from motion for 3D adaptive feedback tracking of faces – Jebara, Pentland - 1997
40 Computing 3D head orientation from a monocular image sequence – Horprasert, Yacoob, et al.
39 Projective registration with difference decomposition – Gleicher - 1997
34 Deformable templates for feature extraction from medical images – Lipson, Yuille, et al. - 1990
25 Head tracking using a textured polygonal model – Schodl, Haro, et al. - 1998
22 Head Tracking via Robust Registration in Texture Map Images – Cascia, Sclaroff - 1998
22 Incremental focus of attention for robust visionbased tracking – Toyama, Hager - 1999
20 Jacobian images of super-resolved texture maps for model-based motion estimation and tracking – Dellaert, Thrun, et al. - 1998
16 Super-resolved texture tracking of planar surface patches – Dellaert, Thorpe, et al. - 1998
14 An elliptical head tracker – Birchfield - 1997
10 Color based tracking of heads and other mobile objects at video frame rates – Fieguth, Terzopoulos - 1997
8 Lafter: Lips and face real time tracker. CVPR – Olivier, Pentland, et al. - 1997
7 Multi-modal tracking of faces for video communications. CVPR – Crowley, Berard - 1997
6 Active appearance model. ECCV – Cootes, Edwards, et al. - 1998
6 ªNeural Network-Based Face Detection,º – Rowley, Baluja, et al. - 1998
5 ªProbabilistic Visual Learning for Object Representation,º – Moghaddam, Pentland - 1997
4 ªGeometry and Photometry in 3D Visual Recognition,º – Shashua - 1992
3 ªActive Appearance Models,º – Cootes, Edwards, et al. - 1998
2 ªMotion Regularization for ModelBased Head Tracking,º – Basu, Essa, et al. - 1996
2 ªMulti-Modal Tracking of Faces for Video Communications,º – Crowley, Berard - 1997
2 ªProjective Registration with Difference Decomposition,º – Gleicher - 1997
2 ªComputing 3-D Head Orientation from a Monocular Image – Horprasert, Yacoob, et al. - 1996