A fully projective formulation to improve the accuracy of lowe’s pose-estimation algorithm (1998) [17 citations — 4 self]
by Rodrigo L. Carceroni, Christopher M. Brown
Computer Vision and Image Understanding
http://www.cs.rochester.edu/research/mobile/docs/fully_projective.ps.gz
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Abstract:
Both the original version of David Lowe's influential and classic algorithm for tracking known objects and a reformulation of it implemented by Ishii et al. rely on (different) approximated imaging models. Removing their simplifying assumptions yields a fully projective solution with significantly improved accuracy and convergence, and arguably better computation--time properties. 1
Citations
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| 128 | Visual tracking of known three-dimensional objects – Gennery - 1992 |
| 126 | Model-based object pose in 25 lines of code – Dementhon, Davis - 1995 |
| 94 | Review and Analysis of Solutions of the Three Point Perspective Pose Estimation Problem – Haralick, Lee, et al. - 1994 |
| 84 | Determination of the attitude of 3-D objects from a single perspective view – Dhome, Richetin, et al. - 1989 |
| 17 | A New Efficient and Direct Solution for Pose Estimation Using Quadrangular Targets:Algorithm and Evaluation – Abidi, Chandra - 1995 |
| 12 | Object pose: Links between paraperspective and perspective – Horaud, Christy, et al. - 1995 |
| 11 | A fully projective formulation for Lowe's tracking algorithm – Araujo, Carceroni, et al. - 1996 |
| 8 | Tracking objects using image disparities – Bray - 1990 |
