Title :
Motion and structure from line correspondences; closed-form solution, uniqueness, and optimization
Author :
Weng, Juyang ; Huang, Thomas S. ; Ahuja, Narendra
Author_Institution :
Beckman Inst., Illinois Univ., Urbana, IL, USA
fDate :
3/1/1992 12:00:00 AM
Abstract :
This work discusses estimating motion and structure parameters from line correspondences of a rigid scene. The authors present a closed-form solution to motion and structure parameters from line correspondences through three monocular perspective views. The algorithm makes use of redundancy in the data to improve the accuracy of the solutions. The uniqueness of the solution is established, and necessary and sufficient conditions for degenerate spatial line configurations are given. Optimization has been employed to further improve the accuracy of the estimates in the presence of noise. Simulations have shown that the errors of the optimized estimates are close to the theoretical lower error bound
Keywords :
optimisation; parameter estimation; pattern recognition; picture processing; closed-form solution; line correspondences; motion parameters; necessary conditions; optimization; parameter estimation; pattern recognition; picture processing; rigid scene; structure parameters; sufficient conditions; uniqueness; Cameras; Closed-form solution; Computer errors; Image segmentation; Layout; Motion analysis; Motion estimation; Pixel; Redundancy; Sufficient conditions;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on