Subspace methods for recovering rigid motion I: algorithm and implementation
International Journal of Computer Vision
Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
Trilinearity in visual recognition by alignment
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
A paraperspective factorization method for shape and motion recovery
ECCV '94 Proceedings of the third European conference on Computer Vision (Vol. II)
Motion Parameter Estimation from Global Flow Field Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of Relative Camera Positions for Uncalibrated Cameras
ECCV '92 Proceedings of the Second European Conference on Computer Vision
A Multi-Frame Structure-from-Motion Algorithm under Perspective Projection
International Journal of Computer Vision - Special issue on computer vision research at NEC Research Institute
Fast and Accurate Algorithms for Projective Multi-Image Structure from Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Linear Multi View Reconstruction and Camera Recovery Using a Reference Plane
International Journal of Computer Vision
A New Structure-from-Motion Ambiguity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structure from Motion Causally Integrated Over Time
IEEE Transactions on Pattern Analysis and Machine Intelligence
Linear Multi View Reconstruction with Missing Data
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Plane+Parallax, Tensors and Factorization
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Computing the Camera Heading from Multiple Frames
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Machine Vision and Applications
| Hi-index | 0.00 |
A new approach to multiframe structure from motion for point features is presented. Unlike previous approaches, it gives robust reconstruction in situations commonly encountered in outdoor robot navigation, for general motion and with large perspective effects. Under the appropriate conditions, the algorithm provably gives the correct reconstruction. The typical computation time is seconds. It is argued that the new approach, combined with previous algorithms valid in other domains (e.g., Tomasi's algorithm), gives a general method for structure from motion.