IEEE Transactions on Pattern Analysis and Machine Intelligence
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Projective Reconstruction and Invariants from Multiple Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Dynamic 3-D Scene Analysis Through Synthesis Feedback Control
IEEE Transactions on Pattern Analysis and Machine Intelligence
What can be seen in three dimensions with an uncalibrated stereo rig
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Euclidean 3D Reconstruction from Image Sequences with Variable Focal Lenghts
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Automatic 3D Model Construction for Turn-Table Sequences
SMILE'98 Proceedings of the European Workshop on 3D Structure from Multiple Images of Large-Scale Environments
Critical Motion Sequences for Monocular Self-Calibration and Uncalibrated Euclidean Reconstruction
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A portable three-dimensional digitizer
NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
Reconstruction from image sequences by means of relative depths
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Euclidean Reconstruction from Constant Intrinsic Parameters
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Projective Structure from two Uncalibrated Images: Structure from Motion and Recognition
Projective Structure from two Uncalibrated Images: Structure from Motion and Recognition
Towards direct recovery of shape and motion parameters from image sequences
Computer Vision and Image Understanding
Mapping local image deformations into depth
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
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Most structure from motion work assumes that tracking is a separate issue from recovery of structure and motion. This paper argues that in certain cases, it helps to use the original images to refine the tracking in the course of estimating structure and motion. We illustrate this by presenting two algorithms: one for appearance-based structure from complete rotation, and another for 3-D face modeling from three images. We come to the following conclusion: use appearance prediction only if the gross shape or type of shape deformation is known. Otherwise, one is very likely better off just using the currently known tracks.