Projective Reconstruction and Invariants from Multiple Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Novel View Synthesis by Cascading Trilinear Tensors
IEEE Transactions on Visualization and Computer Graphics
Interpreting Face Images Using Active Appearance Models
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Marker Tracking and HMD Calibration for a Video-Based Augmented Reality Conferencing System
IWAR '99 Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Real-Time Camera Parameter Estimation from Images for a Mixed Reality System
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
A Factorization Method for Structure from Planar Motion
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
3DIM '05 Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling
Sliding adjustment for 3D video representation
EURASIP Journal on Applied Signal Processing
Novel directional gradient descent searches for fast block motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
Motion estimation using a one-dimensional gradient descent search
IEEE Transactions on Circuits and Systems for Video Technology
Reformulated radial basis neural networks trained by gradient descent
IEEE Transactions on Neural Networks
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This paper presents a novel method for estimating camera motion and reconstructing human face from a video sequence. The coarse-to-fine method is applied via combining the concepts of Powell's minimization with gradient descent. Sparse points defining the human face in every frame are tracked using the active appearance model. The case of occluded points, even for self-occlusion, does not pose a problem in the proposed method. Robustness in the presence of noise and 3D accuracy using this method is also demonstrated. Examples of face reconstruction using other methods including trifocal tensor, Powell's minimization, and gradient descent are also compared to the proposed method. Experiments on both synthetic and real faces are presented and analyzed. Also, different camera movement paths are illustrated. All real-world experiments used an off-the-shelf digital camera carried by a human walking without using any dolly to demonstrate the robustness and practicality of the proposed method.