Motion and Structure from Orthographic Projections
IEEE Transactions on Pattern Analysis and Machine Intelligence
Solid shape
Image and Vision Computing - Special issue: frequency increase for 1991
Finding point correspondences and determining motion of rigid object from two weak perspective views
Computer Vision, Graphics, and Image Processing
Recognition by Linear Combinations of Models
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
3D motion recovery via affine epipolar geometry
International Journal of Computer Vision
International Journal of Computer Vision
A Paraperspective Factorization Method for Shape and Motion Recovery
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion and Structure Factorization and Segmentation of Long Multiple Motion Image Sequences
ECCV '92 Proceedings of the Second European Conference on Computer Vision
A multi-body factorization method for motion analysis
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Visual Homing: Surfing on the Epipoles
International Journal of Computer Vision
Relative viewing distance: a correspondence invariance under paraperspective projection
Computer Vision and Image Understanding
Pose and Motion Recovery from Feature Correspondences and a Digital Terrain Map
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovering epipolar direction from two affine views of a planar object
Computer Vision and Image Understanding
Error analysis of SFM under weak-perspective projection
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
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We present a geometric interpretation of the problem of motion recovery from three weak-perspective images. Our interpretation is based on reducing the problem of estimating the motion to a problem of finding triangles on a sphere whose angles are known. Using this geometric interpretation, a simple method to completely recover the motion parameters using three images is developed. The results of running the algorithm on real images are presented. In addition, we describe which of the various motion parameters can be recovered already from two images.