Practical reliable Bayesian recognition of 2D and 3D objects using implicit polynomials and algebraic invariants
- 1 May 1996
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 18 (5) , 505-519
- https://doi.org/10.1109/34.494640
Abstract
No abstract availableKeywords
This publication has 22 references indexed in Scilit:
- Robust object recognition based on implicit algebraic curves and surfacesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Describing complicated objects by implicit polynomialsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994
- Using symbolic computation to find algebraic invariantsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994
- Robot sensing techniques based on high-dimensional moment invariants and tensorsIEEE Transactions on Robotics and Automation, 1992
- Invariant descriptors for 3D object recognition and posePublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- Direct least-squares fitting of algebraic surfacesACM SIGGRAPH Computer Graphics, 1987
- 3DPO: A Three- Dimensional Part Orientation SystemThe International Journal of Robotics Research, 1986
- On Optimally Combining Pieces of Information, with Application to Estimating 3-D Complex-Object Position from Range DataPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1986
- Multiple-Window Parallel Adaptive Boundary Finding in Computer VisionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1983
- Fitting conic sections to “very scattered” data: An iterative refinement of the bookstein algorithmComputer Graphics and Image Processing, 1982